Tell us what's broken.
Tell us which logistics data processes consume the most manual team time. We'll map the automation opportunity and give you a fixed cost.
RPA in Logistics | Logistics Process Automation
RPA in Logistics
Logistics operations depend on data moving accurately and quickly between carriers, customers, warehouses, and internal systems. Shipment booking, tracking status updates, customs documentation, carrier invoice reconciliation, and delivery exception handling, these are structured, rule-based workflows that consume significant operations team time.
We build robotic process automation systems that handle these workflows automatically, so your logistics operations team focuses on exception management, carrier relationships, and customer service rather than data re-entry between systems.
Shipment booking, tracking updates, and delivery confirmation automation
Carrier invoice reconciliation against contracted rates, catch billing errors automatically
Customs documentation generation and compliance check automation
Integration with TMS, WMS, ERP, and carrier APIs (FedEx, UPS, DHL, freight forwarders)
Recent outcomes
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4.9
on ClutchThe problem
Sound familiar?
Operations team spending hours per day re-entering shipment data between your TMS and carrier systems?
Carrier invoice reconciliation taking days each month because someone has to compare line by line?
Short answer
RaftLabs builds robotic process automation systems for logistics businesses, automating shipment booking, real-time tracking status updates, carrier invoice reconciliation, customs documentation generation, and delivery exception workflows. Logistics RPA connects TMS, WMS, ERP, and carrier APIs so data flows automatically without manual re-entry between systems. Most logistics RPA projects deliver in 6-12 weeks at a fixed cost.
Key takeaways
- RaftLabs automates shipment booking, tracking status updates, carrier invoice reconciliation, customs documentation, and delivery exception workflows for logistics businesses.
- Logistics RPA integrates with TMS, WMS, ERP, and carrier APIs including FedEx, UPS, and DHL so data flows without manual re-entry between systems.
- A focused logistics RPA system covering one process typically costs $15,000 to $40,000; a broader multi-carrier programme runs $40,000 to $100,000.
- Most logistics RPA projects deliver in 6 to 12 weeks at a fixed cost.
- Carrier invoice reconciliation automation flags billing errors and overbilling, with industry average recovery of 1 to 3 percent of freight spend.
- Customs documentation generation, compliance flagging, and multi-carrier integration are all supported within the same automation layer.
Trusted by
Logistics data moves constantly. Manual re-entry slows it down and creates errors.
A tracking status that has to be pulled from a carrier portal and re-entered in your TMS three times a day is a task a bot can do every 15 minutes with no errors. A carrier invoice that takes two days of reconciliation because someone has to compare it line by line against contracted rates is a task automation can complete in minutes and flag only the discrepancies.
According to Gartner, the RPA software market grew 14.5% to $3.6 billion in 2024, driven by adoption in operations-heavy industries including logistics where structured, high-volume data processing creates a direct fit for automation. Logistics teams that have deployed RPA on carrier reconciliation and tracking workflows consistently report those as the first processes to show measurable time recovery.
Logistics RPA doesn't make judgment calls. It handles the structured data processing that surrounds them.
Capabilities
Logistics processes we automate
- 01Shipment booking automation
Automated shipment booking across multiple carriers: bots receive requests from your TMS, select the carrier by your routing rules, and return tracking numbers, labels, and delivery dates within seconds. Booking errors are classified and routed to a review queue, never silently dropped, with a full audit trail of carrier, reason, and rate.
- Built with
- TMS · FedEx · UPS · DHL Express
- 02Tracking status synchronisation
Automated tracking status pulls from carrier APIs on a defined schedule, pushed to your TMS, WMS, and customer-facing portals. Bots detect delivery failures, delays, and address issues and trigger exception workflows, so tracking data is always current without staff checking portals manually.
- Built with
- Carrier APIs · TMS · WMS
- 03Carrier invoice reconciliation
Automated three-way match of carrier invoice, contracted rate card, and shipment data by service level, zone, and weight break. Incorrect accessorials, wrong zones, duplicates, and charges on unknown shipments are flagged while clean invoices approve automatically, recovering an industry-average 1-3% of freight spend.
- Built with
- EDI 210 · Invoice PDFs
- 04Customs documentation generation
Automated generation of customs declarations, commercial invoices, packing lists, and certificates of origin from your order and product systems, with HS codes, values, and origin populated per destination country. Complex or restricted shipments are flagged for compliance review.
- 05Delivery exception handling
Automated detection and handling of failed deliveries, address corrections, customs holds, and damage notifications. Bots classify each exception from carrier tracking, trigger the right response, from customer notification to re-delivery or return, and update the relevant systems automatically for standard types.
- 06Warehouse and inventory data sync
Automated synchronisation between WMS, TMS, and ERP: inbound receipts, inventory availability, outbound pick and pack, and despatch notifications, keeping systems aligned without manual reconciliation. For 3PLs, automated client reporting is generated from WMS data.
- Built with
- WMS · TMS · ERP
Logistics automation built around your carrier mix and system stack
We map your highest-volume data processes and automate the structured ones. Fixed cost delivery.
Process
How we build logistics RPA
- 01Carrier integration design
We design the integration architecture for your specific carrier mix: API integrations for carriers with modern developer programmes, UI automation for portal-only carriers, and EDI for freight partners. A unified abstraction layer means adding a new carrier doesn't require rebuilding the automation.
- Built with
- Carrier APIs · UI automation · EDI
- 02Business rules configuration
We document your carrier selection rules, routing logic, rate card structures, escalation paths, and compliance requirements by lane during scoping, then implement them directly, not a generic automation your team then has to configure around.
- 03Exception handling and escalation
We design exception handling into every automation: the bot logs each exception with context, a carrier API error, an unparseable tracking status, an unknown charge category, and escalates to the right team member. Automation handles the standard cases; your team handles the genuine exceptions.
- 04Performance and accuracy monitoring
Automation dashboards showing throughput, error rates, exception rates, and processing time per workflow, with alerting when error rates rise or a process falls behind. Carrier reconciliation reporting tracks overbilling recovered over time, giving operations visibility into automation performance.
Logistics operations that scale without proportional headcount
Automate the structured data processing. Your team handles exceptions and relationships.
How it works
From first call to live product: how every project runs.
The same four steps on every engagement. A 6-week voice AI deployment runs the same shape as a 16-week enterprise project.
- Week 101
Understand the problem
We spend the first week understanding the problem, not presenting a solution. Discovery session, interviews with the people closest to the work, workflow mapping, and a technical audit of what you already have. You leave knowing exactly what's broken and why previous attempts didn't fix it.
- Weeks 2–302
Prototype
Low-fidelity wireframes before any code is written. You see the product before we build it. Scope, timeline, and fixed price locked at this stage. No surprises after work starts.
- Weeks 4–1203
Build MVP
Bi-weekly agile sprints. Weekly progress calls. Direct access to the team and project management tools. Working software at the end of every sprint. Not a big-bang delivery at the finish line.
- Weeks 12–1604
Launch & Grow
Production deployment, QA sign-off, load testing, and team handover. You own the full codebase from day one. We stay on for post-launch iteration and support, then our growth team takes it to market. Nothing gets thrown over the wall.
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Read moreFrequently asked questions
The best RPA candidates in logistics are high-volume, rule-based data processes: (1) Shipment booking, bots create shipment records in your TMS, submit booking requests to carrier APIs, and return tracking numbers without staff having to log into carrier portals. (2) Tracking status updates, bots pull tracking status from carrier APIs on a schedule and update your TMS, WMS, and customer notification systems. (3) Carrier invoice reconciliation, bots compare carrier invoices against contracted rates and shipment records, flagging billing errors for accounts payable review. (4) Customs documentation, bots generate customs declarations, commercial invoices, and packing lists from shipment data. (5) Delivery exception handling, bots detect failed deliveries, trigger customer notification workflows, and create re-delivery or return-to-sender tasks based on exception type. (6) POD collection, bots retrieve proof of delivery documents from carrier portals and attach them to shipment records.
Integration depends on what each carrier exposes. For major carriers (FedEx, UPS, DHL, USPS), we integrate via their published APIs, booking, tracking, label generation, and rate queries are available programmatically. For carriers or freight forwarders without modern APIs, we use UI automation (bots interact with web portals as a user would) or EDI integration where the carrier supports it. For your internal systems (TMS, WMS, ERP), we integrate via API where available or database integration for on-premise systems. Multi-carrier environments, common in 3PL and freight forwarding, are handled with carrier-specific adapters behind a unified automation layer.
Yes, for standard customs documentation scenarios. Bots generate customs declarations, commercial invoices, and packing lists by extracting data from your shipment records, product descriptions, HS codes, values, quantities, shipper/consignee details, and country-of-origin information. For straightforward B2B commercial shipments, the documentation is largely template-based and fully automatable. For complex shipments (restricted commodities, special regimes, multi-origin consignments), the bot generates the draft and flags the shipment for compliance review before submission. We design the automation around your shipment profile and the specific countries and commodities you work with.
A focused logistics RPA system, one process automated (e.g., multi-carrier tracking update automation or carrier invoice reconciliation), typically runs $15,000--$40,000. A broader logistics automation programme covering booking, tracking, reconciliation, and exception handling across multiple carriers and systems runs $40,000--$100,000. Cost depends on the number of carriers and systems to integrate, the complexity of the business rules, and the volume of exception handling logic required. We scope every project before pricing it.
Work with us
Tell us what you need. We'll tell you what it would take.
We scope RPA in Logistics in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.