Finmile, answered

Finmile Autonomy is a platform for deploying AI workers across an organisation's existing systems, teams and workflows. The workers detect operational problems, investigate the context, communicate with the people involved, make decisions within defined authority, update systems and follow the work through to a confirmed outcome. It is designed for physical and operational businesses that want to automate execution without replacing their existing technology stack.

Operational Superintelligence is intelligence that can understand, decide, act and follow through across a live operation. It combines data from systems, people, documents and real-world events with the authority to complete work. Most business intelligence explains what happened and most generative AI produces an answer. Operational Superintelligence is built to do something about the problem while it is still happening.

An AI worker is a software agent with a clear operational objective, access to approved tools and data, and defined authority to act. It can investigate a problem, call or message people, make a decision, update systems and continue monitoring the result. Unlike a chatbot, an AI worker is measured by whether the operational job was completed, not whether it produced a convincing response.

Machine learning can identify patterns, predict risk and optimise decisions. Generative AI can understand language, documents and conversations. Automation can execute defined system actions. Finmile combines these capabilities inside governed operational workflows, allowing a worker to interpret changing situations, use the right model or tool, act within business rules and keep working until the desired outcome is confirmed.

A chatbot primarily answers questions or routes a request. A Finmile AI worker can investigate the underlying operational problem and take action across systems and people. It might answer a customer, call a driver, retrieve evidence, reschedule a delivery, update the TMS, notify affected teams and monitor completion. The conversation is only one part of the work.

A copilot assists a person by summarising information, drafting a response or recommending a next step. Finmile can be given authority to execute the next step itself. Its workers operate continuously, coordinate across channels, update records and follow the workflow through. People remain involved wherever judgement, approval or relationship management is required.

Traditional RPA is effective when inputs and steps are predictable. It can become brittle when a workflow depends on changing context, unstructured documents, phone calls or human responses. Finmile combines flexible AI reasoning with deterministic rules and system tools. This allows a worker to handle variation while remaining constrained by permissions, policies, limits and escalation paths.

Traditional workflow automation moves work through predetermined steps. Agentic AI can determine which permitted step is appropriate based on the current situation. A Finmile worker can gather missing information, compare conflicting sources, communicate with people and adapt the workflow as new information arrives. The objective and boundaries remain fixed even when the path to resolution changes.

Finmile Autonomy works across the technology stack a customer already has. Finmile OS is the complete execution system for planning, running, proving and reconciling physical operations, with Autonomy built in. They are not unrelated products. They are 2 ways of deploying Finmile: Autonomy across the existing stack, or OS as the execution stack.

Finmile Autonomy is designed for businesses running complex physical or service operations. This includes logistics, freight, wholesale distribution, retail fulfilment, automotive parts, field service, utilities, healthcare logistics, waste services, manufacturing and cold-chain operations. The strongest use cases involve frequent exceptions, several systems, multiple stakeholders and a clear operational outcome.

Finmile can automate workflows involving detection, investigation, communication, decision-making, system updates and follow-through. Examples include delivery recovery, urgent dispatch, replenishment, customer resolution, carrier coordination, appointment scheduling, claims, compliance, document collection, invoice reconciliation and collections. The best first workflow is frequent, time-sensitive, measurable and governed by rules that can be made explicit.

Finmile's AI workers can run track-and-trace checks, recover missed milestones, contact drivers and carriers, update ETAs, coordinate appointments, resolve failed deliveries, collect proof of delivery and notify customers. They work across transport systems, telematics, driver apps and communication channels, keeping responsibility for the case until the shipment or delivery reaches a confirmed outcome.

Yes. Finmile can receive live events from transport, telematics, warehouse or customer systems and start a recovery workflow immediately. The worker can assess the remaining delivery window, investigate the cause, contact the driver or carrier, select an authorised recovery, update the plan and continue monitoring. This allows the operation to act while the delivery can still be protected.

Yes. Finmile can evaluate location, availability, skills, working time, job priority, customer constraints and required equipment before assigning or reassigning work. It can contact the worker, confirm acceptance, update the schedule and notify the customer. High-impact or unusual changes can remain subject to dispatcher approval.

Yes. A worker can monitor stock levels, demand, supplier commitments and operational priorities, then create or recommend replenishment and transfers within defined rules. It can also chase supplier confirmations, resolve shortages, update planning systems and monitor receipt. Commercial, safety-stock or high-value decisions can require human approval.

Yes. Finmile can answer the customer while also completing the operational work behind the enquiry. For example, it can investigate a late order, contact the carrier, arrange an authorised recovery, update the customer and monitor completion. The case is escalated only when authority, judgement, vulnerability or relationship risk requires a person.

Yes. A Finmile worker can open the claim, reconstruct the event history, collect photographs and documents, contact the parties involved, check policy and identify missing evidence. It can resolve routine claims within delegated limits or send a complete file to an authorised person. Every source, action, decision and outcome is retained for audit.

Yes. Finmile can continuously check documents, licences, insurance, training, process steps and required approvals. When it detects a problem, the worker can stop or restrict the affected work, request corrective evidence, validate the response and restore activity when the requirements are met. Ambiguous or regulated decisions can be escalated to the appropriate owner.

Yes. Finmile can match an invoice against agreed rates, completed work, quantities, distance, timestamps, proof and authorised surcharges. If the records do not agree, it can retrieve evidence, contact the supplier or carrier, request a correction and update finance systems. Payment or dispute decisions remain constrained by value limits and approval rules.

Yes. A worker can contact approved carriers, collect rates and availability, verify compliance, book within commercial guardrails and update the TMS. During execution it can run check calls, collect location and ETA, coordinate pickup or delivery appointments and recover exceptions. It can also collect documents and support freight audit after delivery.

Yes. Finmile can coordinate availability across customers, drivers, technicians, carriers, depots and receiving sites. It can offer valid options, confirm the agreed slot, update every connected system and chase non-responses. If a delay or cancellation threatens the appointment, the worker can start recovery before the slot is lost.

Yes. Finmile can detect when required evidence is missing, contact the responsible person, receive the document and associate it with the correct job or case. It can check references, signatures, dates, quantities and other required fields, then release the next process such as billing, settlement, claim review or compliance closure.

Finmile can operate across enterprise and operational systems including ERP, TMS, WMS, CRM, order management, field service, workforce, telematics, planning, finance, claims and compliance platforms. It can also use databases, data warehouses, documents, event streams and partner portals. The required integrations are selected around the first workflow rather than requiring the entire technology estate to be connected at once.

Yes. Finmile Autonomy is specifically designed to work across existing systems. A worker can read the context it needs, perform approved updates and keep records synchronised across the workflow. This allows an organisation to add autonomous execution without replacing years of investment in its ERP, TMS, WMS, CRM or specialist operational software.

No. Finmile Autonomy is built in place across the systems, people and processes already running the operation. The first deployment normally focuses on one workflow and only the integrations required for that outcome. Organisations that later want Finmile to provide the underlying execution layer can consider Finmile OS.

Often, yes. APIs and webhooks are preferred because they are reliable and observable, but Finmile can also work with approved databases, files, emails, documents and controlled user interfaces. The appropriate method depends on the system, the action required, security constraints and the reliability needed for the workflow.

Yes. Finmile can receive events such as missed milestones, delayed vehicles, failed scans, stock shortages, temperature alerts, missing documents and payment discrepancies. The worker can combine the event with live operational context and start the relevant workflow immediately instead of waiting for a report or manual review.

Yes. Finmile's AI workers can make outbound calls and handle inbound calls as part of an operational workflow. They can understand the response, ask follow-up questions, retrieve information from systems during the conversation and take the next permitted action. The call is recorded as part of the same case context as system updates, emails and messages.

Yes. A worker can use approved voice and text channels, including email, SMS and WhatsApp, to contact customers, drivers, carriers, suppliers and internal teams. The channel can change without losing the objective or context. Communications, responses, decisions and resulting actions remain connected to the same operational case.

Yes. Workers can support multiple languages and operate across sites or countries while applying the correct local process, authority, contacts and escalation paths. Rollout is normally controlled workflow by workflow and country by country so language, regulatory, data and operational differences can be tested before wider deployment.

Yes, where the organisation has authorised it. Each worker is given defined objectives, information access, permitted actions, financial or operational limits and escalation rules. Routine decisions can be made autonomously inside those boundaries. Decisions involving uncertainty, higher value, safety, policy exceptions or sensitive relationships can require human approval.

Finmile combines live operational context, approved data, business policy, deterministic rules and the history of similar work. It evaluates the available options against the worker's objective and authority. The action may be fully autonomous, require approval or be escalated. The information used, reason for the decision and resulting action are recorded.

Finmile can search approved systems, inspect documents, contact the relevant person or request specific evidence. If the missing information cannot be obtained, sources conflict or the worker lacks authority, it escalates the case with the investigation already completed. It should not turn uncertainty into an invented fact.

Yes. Follow-through is a core part of Finmile Autonomy. Sending a message, updating a status or creating a task does not necessarily mean the operational objective has been achieved. The worker can wait for a response or event, reassess new information, take another permitted action and keep the case open until completion is confirmed.

Each worker is configured with an explicit objective and completion conditions. These might include a confirmed delivery, accepted appointment, valid document, restored compliance, completed refund or reconciled invoice. Finmile verifies the relevant system event or evidence before closing the case, rather than treating an intermediate action as the final outcome.

Operational Memory is the growing body of verified context created through completed work. It records what happened, what caused it, what information mattered, who responded, which policy applied, what Finmile decided, what action was taken and what resolved the problem. This gives future workers access to knowledge that is rarely captured in a single system.

Finmile can use verified previous cases to improve context, prioritisation and future decisions. It can identify recurring exceptions, effective recovery actions and patterns in suppliers, sites, routes or customers. Learning remains governed: changes to authority, policy or high-impact behaviour should be tested, reviewed and versioned rather than silently adopted.

Yes. Different workers can use shared Operational Memory while retaining their own objective, permissions and rules. A delivery worker, claims worker and reconciliation worker may all need the same job history, evidence and customer context. Sharing verified context prevents each function from rebuilding the case independently.

Finmile records the causes and outcomes behind completed workflows, allowing repeated exceptions to be identified across sites, suppliers, routes, assets or processes. That evidence can trigger preventative checks, revised playbooks, earlier interventions or changes to the operation. Finmile can automate the prevention workflow, while process owners decide which structural improvements to adopt.

Yes. Finmile can monitor leading signals such as missing confirmations, unrealistic ETAs, incomplete documents, unusual behaviour, stock risk or a broken dependency. It can then validate the risk and take a preventative action before the downstream failure occurs. The available warning time depends on the quality and timeliness of the underlying data.

Every worker has defined access, authority, actions, limits and escalation rules. Controls can vary by workflow, customer, location, value, risk or type of decision. The organisation determines what the worker may read, change, approve and communicate. Finmile cannot grant itself additional authority outside that configuration.

Approval can be required whenever a decision exceeds a financial limit, affects safety, creates regulatory exposure, conflicts with policy or needs commercial or relationship judgement. Finmile can still investigate the case, assemble the evidence and recommend the next action. The person receives a complete decision package rather than an unexplained alert.

Finmile grounds workflows in approved systems, documents, policies and live operational data. Deterministic rules restrict what the worker can do, while confidence, contradiction and missing evidence can trigger clarification or escalation. Tool permissions limit execution, and the full decision path can be reviewed. High-risk actions should always use appropriately strict controls and testing.

Yes. Finmile is designed to record the trigger, sources checked, communications, reasoning context, decision, action, approval and final outcome for each workflow. This makes operational work observable and reviewable. The exact records retained and retention period are configured around the customer's process, security and regulatory requirements.

Finmile should be configured to use only the data required for the approved workflow. Access, storage, retention and deletion rules are defined with the customer, alongside role-based permissions and auditability. Sensitive deployments require appropriate security, privacy and legal review before production use, particularly when health, financial, employee or customer data is involved.

Finmile can be deployed within a GDPR-aligned operating model, but compliance depends on the specific workflow, data roles, integrations, lawful basis, retention, security and contracts. Finmile and the customer should document responsibilities through the appropriate agreements and complete the required privacy assessment before processing personal data.

Customer data handling depends on the agreed deployment architecture, model providers and contractual controls. Production services are configured so customer data is used only for the authorised workflow and is not used to train public models unless explicitly agreed. The final position should be documented in the customer's security and data-processing terms.

Finmile can use defined fallbacks such as retrying safely, switching to an approved alternative, pausing the action, using another channel or escalating to a person. The workflow should fail safely rather than continue with missing context. Availability, recovery and escalation requirements are designed around the operational importance of each worker.

Yes, with the right scope and controls. Safety, clinical, legal or regulated judgement can remain with authorised people, while Finmile handles monitoring, evidence gathering, coordination and routine actions. Deterministic restrictions, mandatory approvals, audit trails and fail-safe escalation should be designed into each safety-critical workflow.

A focused first workflow can be live in 30 days when system access, operational ownership, data and decision rules are available. Finmile starts with one worker and one measurable outcome, tests the worker against real scenarios and then expands its authority or adds adjacent workflows. There is no need to replace the existing technology stack before starting.

Finmile builds Operational Superintelligence: AI workers with the authority to act across an operation. Finmile Autonomy deploys those workers across the systems a business already runs. Finmile OS is the complete operating system for physical operations, planning the work, running it live, proving what happened and reconciling the cost, with the same workers built in.

Finmile ingests orders, optimises routes, allocates work, monitors live delivery progress, predicts delays, triggers customer updates, captures proof of delivery and reports on cost, service and driver performance. The result is fewer wasted miles, fewer failed deliveries and better visibility.

Both. Finmile includes advanced AI route optimisation, but it is broader than route planning: it also runs dispatch, live operations, driver workflows, proof of delivery, exception management and reporting. It helps create the plan, run the day, and improve the next operation.

Basic tools calculate a route before the day starts. Finmile is built for live operations, supporting dynamic routing, live tracking, exceptions, driver workflows, customer communication, proof of delivery and analytics, because real delivery days rarely follow the original plan.

Finmile is built for logistics companies, courier networks, delivery service providers, 3PLs, retailers, ecommerce brands, field service operators and healthcare logistics teams, especially those with high volume, multiple depots, mixed fleets and service level agreements.

No. Finmile supports dispatchers, planners and operations teams. It automates repetitive work, surfaces risks and gives better visibility, but human oversight stays in control.

Finmile uses AI to optimise routes, predict delays, identify delivery risk, improve ETA accuracy, support proof of delivery validation and recommend better ways to allocate work, across the whole delivery lifecycle rather than just producing a map.

Yes. By improving route density, driver allocation and stop sequencing, Finmile reduces unnecessary routes and miles. Finmile reports delivery cost reductions of up to 42 percent, and Net Zero Logistics cut daily routes from 30 to 40 down to 16 to 20 after adopting Finmile.

Implementation depends on complexity, data quality and integrations; a pilot can move quickly while a full enterprise rollout takes longer. Finmile does offer pilots, and the best approach is to prove value on one live operation before expanding.

Yes. Finmile offers API integrations and can connect with WMS, TMS, ERP, ecommerce platforms and carrier systems. It does not require a full system replacement and can sit alongside the tools you already run.

AI route optimisation software uses artificial intelligence to plan more efficient routes for deliveries, collections or field jobs. It weighs delivery windows, vehicle capacity, traffic, driver availability, depot rules and service levels, not just the shortest distance.

It analyses many possible route combinations and selects the most efficient plan against your business rules and constraints, considering distance, time, capacity, priority, shift length, vehicle type and live conditions. AI can process thousands of variables far faster than manual planning.

Route planning decides where drivers go and in what order. Route optimisation goes further, finding the most efficient way to complete that work against distance, time, cost, capacity and service requirements. Finmile combines both with live execution and analytics.

Yes. It lowers mileage, improves driver utilisation, removes unnecessary routes, increases stop density and cuts manual planning time. The biggest savings come when optimisation is combined with live operations data and ongoing route learning.

Yes. It reduces unnecessary mileage and improves stop sequencing. For van fleets that cuts fuel directly; for electric fleets, smarter routing protects range and improves vehicle utilisation.

Yes. By completing more successful stops within the same shift, route optimisation increases capacity, letting companies grow delivery volume without adding vehicles, drivers or depots at the same rate.

Yes. Plans can be adjusted during the day when conditions change, such as traffic, failed deliveries, late drivers, urgent orders or depot delays, so service levels are protected without manual firefighting.

Route density is how many stops are completed efficiently within an area or time period. Higher density means less travel between stops, and it is one of the biggest drivers of last mile cost, so Finmile groups work to raise it.

Yes. Finmile optimises multi-stop delivery routes and collection routes for couriers, retailers, healthcare, field service and reverse logistics, accounting for time windows, capacity, priority and depot rules, not just distance.

Control Tower is the live operations layer of Finmile. It gives teams visibility across routes, drivers, parcels, depots, exceptions, performance and service levels, so they can see what is happening now and what is likely to go wrong next.

Yes. Teams can see driver progress, delivery status, route performance and exceptions throughout the day, moving from reactive firefighting to spotting delivery risk early and acting before it becomes a failed delivery.

It is the process of spotting and resolving problems during delivery, such as late drivers, failed attempts, missing parcels, address issues and service-level risk. Finmile surfaces exceptions earlier so teams can act before they become failures.

Delivery operations are full of small problems that quickly become service failures. Without a system, teams rely on calls, messages and spreadsheets. Exception management helps them prioritise the most urgent issues and protect service levels.

Yes. By combining route plans, live driver progress, sequencing, traffic and operational data, Finmile improves ETA accuracy, which reduces customer queries, missed deliveries and dispatcher workload.

Yes. Dispatchers see route assignments, live progress, delivery status, exceptions and performance data in one place, giving them what they need to support drivers, resolve issues and keep the operation moving.

Yes. Finmile supports operations across multiple depots, hubs, cities or regions, accounting for geography, capacity, labour, service areas and depot cutoffs to keep performance consistent across locations.

Yes. Finmile turns operational delivery data into clear performance metrics, so leadership can understand cost per delivery, route efficiency, service quality, claims, customer experience and operational risk.

No. Finmile's AI supports planners, dispatchers and operators. It automates repetitive work and surfaces risks, but human oversight stays in control of customers, drivers and real-world constraints.

It helps optimise route structures, predict which deliveries are at risk, recommend how to reallocate work when the day changes, improve ETA accuracy and validate proof of delivery, so operators make faster, better-informed decisions.

Yes. Finmile can detect exceptions such as late drivers, failed attempts and address problems earlier, then recommend the next action so teams resolve issues before they become service failures.

Finmile combines the route plan, live driver progress, stop sequencing, traffic conditions and operational history to produce more accurate ETAs, which reduces WISMO queries and missed deliveries.

Yes. By reading live progress against the plan, Finmile can flag delivery risk during the day, letting dispatchers act proactively instead of waiting for a customer complaint.

Finmile is designed for human-in-the-loop operations: the AI recommends and surfaces risk, while operators approve and stay accountable, with structured data and audit trails behind decisions.

Yes. The Finmile driver app lets drivers receive routes, view assigned stops, scan parcels, follow delivery instructions, update status and capture proof of delivery, reducing confusion and standardising delivery quality.

Proof of delivery is the evidence a delivery was completed, such as a photo, signature, GPS location, timestamp, driver note or barcode scan. It protects the customer, retailer, courier and driver and reduces disputes and claims.

Finmile captures structured delivery evidence, including photos, geolocation, timestamps and status, and helps verify the driver was in the right place, which is especially valuable for high-volume parcel operations where claims add up.

Yes. Finmile supports mixed fleets including vans, bikes and cargo bikes, so companies can match the right vehicle to the right work by density, parcel size, delivery windows, congestion and emissions rules.

Yes. Clearer routes, accurate delivery instructions, better ETAs and structured proof of delivery reduce failed attempts, which are costly because they create reattempts, customer queries, claims and wasted driver time.

Yes. Finmile can capture check-in, check-out, attendance, completed work, route assignment and job-type data, reducing manual payroll admin and improving operational accountability.

Yes. Clear routes, better stop sequencing and accurate instructions mean drivers spend less time guessing, waiting or calling dispatch, so they complete more work within a realistic shift.

Yes. Finmile supports forward delivery and reverse logistics together, so outbound deliveries, returns, collections and failed-delivery recovery can be planned in a joined-up way that improves vehicle utilisation and reduces wasted miles.

Yes. Finmile optimises collection routes as well as deliveries, which suits returns, waste collection, healthcare logistics, repairs, parts collection and reverse logistics, accounting for pickup windows, item size and depot return rules.

Handling collections on the same routes as deliveries raises vehicle utilisation and removes separate return journeys, cutting miles, driver time and cost per stop.

Yes. Better proof of delivery, driver workflows, geolocation evidence and photo capture help resolve disputes quickly and fairly, reducing claims that arise when delivery evidence is weak.

Yes. Finmile supports parts returns and reverse logistics, including incorrect parts, warranty returns, damaged items, unused parts and core returns, combined with deliveries to reduce unnecessary journeys.

Failed deliveries come from poor address quality, customer unavailability, inaccurate ETAs, missed windows, access issues or weak communication. Finmile helps identify and reduce these operational causes.

Yes. Same-day operations need fast planning, live updates and rapid decisions as orders arrive through the day. Finmile helps allocate work, sequence stops and respond immediately when new jobs or exceptions appear.

Yes. Finmile plans routes, allocates drivers, tracks deliveries, manages exceptions and reports on performance, helping next-day networks move from manual planning to a consistent, data-driven approach.

Yes. Finmile uses dynamic routing to change plans during the day based on live data, new orders, delivery progress and driver availability, which is essential when demand is unpredictable.

Static routing fixes routes in advance and keeps them largely unchanged. Dynamic routing updates routes based on live data, new orders and operational risk. On-demand and same-day networks need dynamic routing to keep up.

Finmile can insert new jobs into live routes and re-sequence work, showing the impact on the rest of the day so dispatchers can protect both urgent and existing commitments.

Yes. By combining live driver progress, sequencing and traffic data, Finmile produces more accurate ETAs, which matters most when delivery windows are tight and customer expectations are high.

Yes. By improving route plans, density and stop sequencing, Finmile removes unnecessary travel and duplicated coverage. The greenest mile is the one you never drive, and cutting miles reduces both fuel and emissions.

Yes. Finmile reduces unnecessary miles, improves route density and helps teams complete work more efficiently, removing wasted journeys from waste, recycling and other collection operations.

Yes. Finmile supports mixed fleets including vans, bikes and cargo bikes, and helps match the right vehicle to the right work by density, parcel size, congestion and emissions rules.

Higher density means drivers travel less between stops, so each successful delivery carries fewer miles and less fuel, lowering both cost and carbon per stop.

Yes. Finmile reports on route reduction, miles saved and delivery performance, so teams can quantify efficiency gains and the associated fuel and emissions savings.

Delivery management software helps businesses plan, dispatch, track and complete deliveries, usually including route planning, driver management, customer notifications, proof of delivery and reporting. Finmile is delivery management software built around AI optimisation and live execution.

Most route planners create routes before drivers leave the depot. Finmile goes further, adding dispatch, live tracking, exception management, proof of delivery, driver workflows, customer updates and analytics, so you run the whole operation, not just a route list.

A TMS manages transport planning, carrier allocation, freight, rates and documentation. Finmile focuses on the execution layer, optimising routes, managing drivers, tracking live progress and resolving exceptions, and can run alongside an existing TMS.

No. Finmile is the intelligent execution layer between your order systems and the real-world delivery operation. It integrates with WMS, TMS, ERP and order management rather than replacing them.

Spreadsheets become fragile at scale: hard to update live, easy to break and poor at routing, live tracking and exceptions. Finmile replaces spreadsheet planning with a structured, intelligent operating system.

Google Maps is for navigation, not logistics. It does not manage delivery constraints, driver capacity, parcel scanning, proof of delivery, customer communication or reporting. Drivers may still navigate with maps while Finmile controls the workflow.

Yes. Finmile connects with ecommerce and operational systems through integrations and APIs, including platforms such as Shopify and TikTok Shop, so orders flow from existing systems into delivery planning and execution.

Finmile tackles the operational problems that make delivery expensive: manual route planning, inefficient driver allocation, poor visibility, delayed updates, failed deliveries, weak proof of delivery, fragmented carrier data and limited reporting, by connecting planning, execution and analytics.

No. Finmile supports both growing delivery companies and enterprise networks. The key question is not company size but whether delivery complexity is high enough that manual planning and fragmented systems are limiting growth.

Yes. Finmile integrates with warehouse management, transport management, ERP and custom operational tools, so it can sit alongside existing systems and improve planning, execution and visibility without a full replacement.

Yes. Finmile supports API-based integrations to push order data in, receive optimised routes, update delivery status and connect existing systems, which is essential for high-volume networks where manual uploads do not scale.

Measure across cost, service and productivity: routes reduced, miles reduced, deliveries per driver, planning time saved, failed deliveries reduced, customer queries reduced, claims reduced and on-time rate. The strongest case combines several improvements.

Yes. Finmile replaces manual processes with structured, data-driven workflows, giving a repeatable operating model so new customers, depots or routes do not each require more manual admin.

Yes. By automating repetitive planning, dispatch, reporting and customer-update work, Finmile helps the same team manage more complexity without adding headcount or burning out.

A delivery service provider (DSP) carries out deliveries on behalf of retailers, ecommerce brands, marketplaces, carriers or logistics networks, managing drivers, vehicles, service levels and tight delivery windows.

Yes. Finmile improves route efficiency, driver productivity, visibility, proof of delivery, customer communication and reporting, which is the difference between low-margin manual operations and scalable, data-driven delivery.

Yes. Finmile supports delivering on behalf of another brand, with accurate tracking, strong proof of delivery and reliable customer communication for a consistent branded experience.

Yes. Finmile supports providers serving multiple customers on one operating network, managing different service rules, reporting needs and workflows without separate manual processes for each client.

Yes. Finmile helps 3PLs improve delivery planning, execution and reporting across customers, depots, drivers and carriers, giving a flexible operating layer for clients with different rules and expectations.

Yes. Finmile brings delivery data from multiple carriers and internal fleets into one view of performance, status, exceptions and customer outcomes, reducing fragmentation across the network.

Yes. Better route efficiency, higher driver productivity, fewer failed deliveries and less manual planning all reduce cost per delivery, one of the most important metrics for a DSP's margin.

Last mile delivery software manages the final stage of delivery from depot or hub to the customer, including route optimisation, dispatch, tracking, proof of delivery, notifications, driver apps and reporting. Finmile is built to run and improve complex last-mile operations.

It involves many small stops, variable customer availability, urban congestion, driver time, fuel, failed deliveries, address issues, returns and customer queries. The more fragmented the network, the harder cost and service are to control.

Improve route optimisation, increase route density, reduce failed deliveries, raise driver productivity, automate dispatch, strengthen proof of delivery and improve customer communication. Finmile attacks cost from several angles, not just routing.

Yes. Better route planning, ETA accuracy, driver instructions, visibility, communication and proof of delivery all reduce failed deliveries, which are costly because they create reattempts, queries, claims and wasted time.

Yes. Finmile improves route density, driver allocation and sequencing to cut unnecessary routes. Net Zero Logistics reduced daily routes from 30 to 40 down to 16 to 20 after adopting Finmile while maintaining delivery capacity.

Yes. Better communication, live tracking and ETA accuracy reduce 'where is my order' queries, which are expensive because they load the customer service team and usually signal poor delivery visibility.

Finmile helps teams move beyond manual planning, disconnected systems and reactive operations, optimising routes, running live operations, improving visibility, capturing better proof and making data-driven decisions to cut cost and scale without adding headcount.

Finmile improves delivery visibility, reduces customer queries, manages carrier performance and creates a better post-purchase experience. For brands, reliable delivery drives retention, while poor delivery creates refunds, complaints and lost repeat purchases.

Yes. Finmile unifies delivery performance, tracking and exceptions across carriers into one view, so brands stop checking separate carrier portals and can improve customer communication consistently.

Yes. Finmile supports Shopify and TikTok Shop connected delivery workflows through integrations, bridging the gap between order creation and the physical delivery experience so teams control routing, tracking and ETAs.

Yes. Accurate ETAs, proactive updates, real-time tracking, clear status and reliable proof of delivery reduce WISMO queries and the customer service workload behind them.

Customers expect accurate updates and blame the brand when delivery goes wrong, even when a third-party carrier is at fault. Finmile turns fragmented delivery data into clear visibility so brands can answer confidently.

A great website wins the first sale; a reliable delivery experience wins the second. Delivery quality shapes whether customers trust a brand enough to order again.

Yes. Finmile improves delivery visibility and operational control so retailers can offer the speed, tracking and certainty customers now expect, without building a full logistics technology stack themselves.

Yes. Finmile plans routes, tracks collections and deliveries, manages proof of delivery and improves visibility. Medical courier work is time-sensitive and needs strong process control when moving samples, medication, devices or documents.

Yes. Finmile captures structured delivery events, timestamps, proof of delivery, driver actions and location data, so medical and high-value logistics can prove what happened, who handled an item and when.

Finmile supports the routing, timing, proof of delivery and visibility around temperature-controlled work. The temperature-control process itself, including equipment, sensors and packaging, is defined by the operator; Finmile runs the logistics workflow around it.

Yes. Finmile plans and tracks pathology sample collection routes for laboratories, clinics and hospitals, handling strict timing, clear handover records and route-wide visibility.

Yes. Finmile supports NHS and healthcare delivery moving medical items, supplies, samples, equipment or documents between locations, where visibility and reliability matter as much as route efficiency.

Yes. Finmile improves route planning, live visibility, driver allocation and exception handling for urgent deliveries that need fast decisions and clear visibility from dispatch to completion.

Yes. Better route planning, driver instructions, tracking and operational alerts reduce missed collections, which can cause serious disruption when time-sensitive samples or supplies are involved.

Yes. Finmile captures timestamps, delivery status, driver records and delivery evidence, supporting accountability, customer confidence and issue resolution for healthcare logistics.

Yes. Finmile improves delivery planning, driver utilisation, customer visibility and proof of delivery for wholesale networks, which often involve repeat customers, fixed windows, high volume and complex route patterns.

Yes. Finmile supports deliveries to shops, branches, trade customers, depots and offices, where delivery windows are stricter and operational expectations are higher than in consumer delivery.

Yes. Finmile routes deliveries, tracks drivers, manages proof of delivery and improves branch-level visibility for automotive, electrical, plumbing, industrial and other trade distribution networks.

Yes. Finmile plans internal movements, tracks items and improves network visibility, cutting the hidden cost of wasted transfer journeys and improving stock availability.

Yes. Finmile plans deliveries to sites, contractors and depots, handling access constraints, site opening times, heavy goods and changing priorities common to construction supply.

Yes. By automating planning, dispatch, proof of delivery, status updates and reporting, Finmile lets distribution teams spend less time chasing information and more time improving service.

Yes. Finmile plans technician routes, allocates jobs, manages live schedules, tracks progress and improves visibility across people, vehicles, jobs, skills, locations and time windows.

It is planning technician visits in the most efficient order while accounting for job location, technician availability, skills, travel time, customer windows and priorities, so teams reduce travel and complete more jobs with the same workforce.

Yes. Finmile can match jobs to technicians by qualification, equipment or experience, because in field service the nearest worker is not always the right worker.

Yes. Finmile shows live field capacity, technician locations and route progress, so teams can decide quickly who can respond to emergency work and understand the impact on the rest of the schedule.

Finmile supports better first-time fix performance by matching the right person to the right job and improving scheduling. It is one part of a wider process that also depends on parts availability, skill and diagnosis.

Yes. Finmile gives visibility over job deadlines, route progress, technician availability and service risk, so teams can prioritise urgent work before an SLA is missed.

Yes. Finmile plans maintenance visits, inspections, repairs and compliance checks across many sites, and supports both planned maintenance routes and urgent reactive work inserted into existing schedules.

Yes. Finmile supports workflows where mobile workers visit locations, capture evidence, complete tasks and update status, covering vehicle inspections, property checks, asset inspections and compliance visits.

Yes. Finmile plans routes, dispatches drivers, tracks deliveries and manages proof of delivery for parts delivery, which is time-sensitive because workshops and dealerships often wait on a part before completing a repair.

Yes. Finmile runs more efficient delivery across branches, trade customers, garages and workshops, handling urgent orders, routes that change through the day and delivery density that varies by region.

Yes. Finmile plans fast routes, allocates work, tracks drivers and responds to urgent changes, which same-day parts delivery needs because orders arrive throughout the day and priorities shift.

Yes. Finmile manages parts movements, inter-branch transfers and service-support deliveries across multiple sites, where visibility and standardised workflows are important.

Yes. Finmile supports parts returns and reverse logistics, including incorrect parts, warranty returns, damaged items and core returns, combining collections with deliveries to reduce journeys.

Yes. Better address accuracy, delivery planning, driver instructions, proof of delivery and live exception management reduce failed parts deliveries that would otherwise delay repairs and cut workshop productivity.

Yes. Finmile reports on delivery performance across routes, drivers, branches, customers and service levels, showing what works, where delays happen and where efficiency can improve.

Yes. Finmile optimises collection routes, manages drivers, tracks progress and improves reporting. Waste networks rely on repeat routes, but demand, access issues and missed collections still create inefficiency.

Yes. Finmile plans efficient recycling collection routes, tracks activity and manages exceptions, reducing fuel usage, driver time and unnecessary mileage.

Yes. Finmile plans routes, tracks collections, manages service levels and improves customer reporting for commercial waste, which involves contracted schedules, different container types and strict expectations.

Yes. Better driver workflows, route visibility, proof of service and exception management reduce missed collections, which cause complaints, repeat visits and avoidable operating cost.

Yes. Finmile supports environmental services managing mobile teams, collections, inspections, deliveries and site visits, which benefit from better routing, visibility and evidence capture.

Yes. Finmile connects demand, dispatch, routing, live job management, proof of service, invoicing and customer updates in one platform, so towing operations behave like one real-time network rather than a chain of manual phone calls and spreadsheets.

Finmile helps dispatch the nearest suitable truck to each job using live location and capability, reducing response times and empty mileage compared with manual phone-based dispatch and static job boards.

Yes. By routing intelligently and matching jobs to the best-placed truck, Finmile reduces empty running, one of the biggest hidden costs in towing and recovery.

Yes. Finmile shows live field capacity and driver locations so operators can decide quickly who responds to an emergency callout and how the rest of the schedule is affected.

Yes. Finmile captures structured job evidence, timestamps, driver actions and location data, supporting billing accuracy, dispute resolution and customer confidence.

Yes. Finmile can trigger customer updates during a job, giving the reassurance drivers need at the exact moment they are waiting for recovery.

Yes. Finmile sits above order intake, dispatch, routing, live exceptions, proof of service, invoicing, customer updates and reporting, closing the billing and visibility gaps that manual coordination creates.