1
Shipment tracking consolidation & exception alerts
Ingest tracking updates from carriers (email, API, EDI, portal scrape), normalise into a single timeline per shipment, and alert operations only when something is off-track or needs action.
AI Workflow Automation for Logistics & Supply Chain
Shipment updates, supplier messages, and warehouse exceptions already exist. We help the right information reach the right person before the customer has to ask.
Logistics and supply chain businesses run on coordination — between warehouses, carriers, suppliers, and customers. The pain isn't a lack of data; it's that data sits in emails, spreadsheets, carrier portals, and WMS screens that don't talk to each other.
We deploy AI that bridges those systems: reads the shipment update, matches it against the order, flags the exception, and tells the right person before the customer calls to complain.
Common Operational Pain Points
Where logistics & supply chain teams lose time
Shipment status lives in too many places
Tracking updates arrive via email, carrier portals, EDI, and phone calls. Operations staff spend hours consolidating status across systems instead of managing exceptions.
Supplier and carrier communications are manual
Every booking confirmation, delay notification, and ETA request is a separate email or call. The same information gets re-keyed across WMS, TMS, and customer-facing systems.
Warehouse receiving is slow and error-prone
Goods arrive with packing lists that don't match the PO. Staff manually check, count, and reconcile before anything hits the system — creating bottlenecks at the dock.
Customer delivery queries overwhelm the team
Customers call or email asking 'where's my order?' and staff scramble across systems to find an answer. Response time is slow and inconsistent.
How It Works
What the Workflow Could Look Like
These examples show the sequence of work, not a fixed product. The real version would follow your systems, rules, and exceptions.
Shipment Exception Management
Trigger: Carrier tracking update received (email, API, or EDI)
- 1AI parses tracking update and maps to internal shipment reference
- 2Compares actual status against expected timeline
- 3Flags delays, missed pickups, or routing anomalies
- 4Alerts the responsible operations manager with context and suggested action
- 5Logs resolution for reporting and carrier performance tracking
What changes
Exceptions caught hours earlier, fewer customer complaints
Goods-In Receipt Automation
Trigger: Delivery arrives at warehouse dock
- 1Packing list scanned or photographed at the dock
- 2AI extracts line items and matches against PO and ASN
- 3Quantity and item discrepancies flagged immediately
- 4Clean receipts auto-posted to WMS with audit trail
- 5Discrepancies routed to procurement for resolution
What changes
Receiving throughput doubles with fewer put-away errors
Customer Delivery Query Resolution
Trigger: Customer asks 'where's my order?' via email or chat
- 1AI identifies order reference from customer message
- 2Pulls latest tracking status from consolidated shipment data
- 3Generates a customer-friendly status update with ETA
- 4Sends response automatically for standard queries
- 5Escalates complex issues to a human with full context
What changes
Customers get answers in seconds instead of hours
Logistics & Supply Chain
Five Workflows Worth Examining
Use these as a shortlist, not a shopping catalogue. The right first project depends on where your team loses time and how often the process repeats.
2
Supplier communication automation
Auto-generate booking confirmations, delay notifications, and ETA requests based on order status changes. Route supplier responses to the right internal team with structured context.
3
Goods-in receipt matching & discrepancy flagging
Read packing lists (paper or digital), match against PO and ASN data, flag quantity or item discrepancies before goods are put away. Clean receipts auto-post to the WMS.
4
Customer delivery status self-service
An AI agent that answers 'where's my order?' from your tracking data, proactively notifies customers of delays, and escalates complex queries to a human with full context.
5
Demand and inventory forecasting
Forecast model that combines sales history, supplier lead times, and seasonal patterns to recommend reorder points and safety stock levels across your SKU range.
Related case studies
Logistics & Supply Chain — frequently asked questions
We use multiple carriers with different tracking formats — can you consolidate them?+
Yes. We parse tracking updates from any source — API, email, EDI, even carrier portal scrapes. The AI normalises everything into a single timeline per shipment regardless of carrier or format.
Our WMS is legacy and doesn't have a modern API. Will it work?+
We integrate via whatever your WMS supports — REST API, ODBC, flat-file export, or screen scrape as a last resort. The AI layer is decoupled from your system of record, so upgrading later doesn't break the automation.
How accurate is the goods-in matching for messy packing lists?+
Accuracy depends on document layout, handwriting and image quality. We benchmark on your real supplier mix, agree a confidence threshold and route anything below it to a person.
What does a typical first engagement look like?+
A scoped 4–6 week pilot on one workflow (usually shipment tracking or goods-in receipt), fixed-price. We only recommend scaling once the pilot hits a pre-agreed ROI threshold on your real operations data.
How We Work
From a Frustrating Process to a Working Workflow
We map what really happens, build a small version, and let your team try it on real work before anyone commits to a larger rollout.
- 01
Workflow Review
We map the manual process end-to-end: systems involved, current time cost, error points, and business impact.
60–90 minutesWorkflow map and automation opportunity summary - 02
Bottleneck Prioritisation
We select the workflow with the strongest mix of pain, feasibility, and measurable ROI — so you start where it matters most.
2–3 working daysPrioritised workflow and success criteria - 03
Prototype Build
We build a small AI-assisted workflow using your sample data, screenshots, exports, or existing documents. No dummy demos.
10–14 working daysWorking prototype or interactive demo - 04
Human Review and Controls
We add review points, exception handling, confidence thresholds, and fallback rules — so nothing runs unsupervised until you trust it.
Included in prototypeControlled workflow ready for pilot - 05
Pilot and Measurement
We test the workflow with real users and measure time saved, errors reduced, and adoption issues before scaling anything.
2–4 weeksPilot report and scale recommendation - 06
Deploy or Improve
We scale the workflow and integrate it properly — or stop if the numbers do not justify further spend. No lock-in.
Based on pilot resultsDeployment plan or improvement backlog
Practical and Proven
A structured approach focused on real business outcomes.
Human-Centred by Design
Automation with the right controls, transparency, and accountability.
Continuous Value
Measure, learn, and improve — so your operations keep getting better.
Free Logistics Workflow Audit
30 minutes. We review your biggest operational bottleneck — whether it's tracking, receiving, or customer queries — estimate the savings, and tell you honestly whether automation is worth it.
Request Your Free Audit