Robotic Process Automation (RPA) · Logistics & trade
Situation
HornLink 3PL runs bonded warehousing, pick-pack-ship, and import/export for retail and e-commerce brands across East Africa. Order and customs data sat in 14 on-prem and cloud systems. Teams re-keyed ASN, invoice, and customs filing fields daily—error-prone and slow, especially for cross-border consignments during peak e-commerce surges.
What we did
NeuralFaaruuq deployed attended and unattended RPA (with API bridges where available): bots harmonize WMS, TMS, carrier portals, and national clearing interfaces; validation rules and exception queues reduce bad filings before they reach customs; invoice triggers align to ASN completion with maker-checker for high-value SKUs.
- Standard data model for “order line → pack → label → proof-of-delivery → bill” with audit log per consignment
- Playbooks for carrier-specific ASNs and bulk CSV fallback where APIs are missing
- Dashboards: cycle time, STP %, and exception reason codes (used in weekly operations review)
Outcomes (first production year, rolling average)
- 38% faster median order-to-bill time vs. the prior 12 months baseline
- 90%+ straight-through processing for routine, low-risk cross-border declaration paths after rule tuning
- Exception backlog time cut materially by routing customs mismatches to named queues (exact figure under NDA—contact us for a tailored walkthrough)
Tech stack (high level)
Enterprise RPA platform, on-prem and cloud connect agents, event logging to SIEM-compatible store, and integration with the client’s existing identity provider.
