Logistics & Supply Chain
Better routes, sharper forecasts, fewer document errors.
Route optimisation, demand and ETA forecasting, warehouse and yard scheduling, and document AI for bills of lading and customs.
AI applications
Ten AI applications for Logistics & Supply Chain
Route and fleet optimisation
Optimises routes and fleet utilisation.
Data needed
Orders, locations, fleet data
Quadratyx ARRO
Demand forecasting
Forecasts shipment volumes by lane, site and week.
Data needed
Shipment history, customer orders
Live demo available
Inventory optimisation
Sets stock levels that balance service and working capital.
Data needed
Stock levels, demand history, lead times
ETA prediction
Predicts arrival times from live and historical movement data.
Data needed
GPS and movement data, schedules
Warehouse slotting
Places products where picking is fastest.
Data needed
Order lines, product dimensions, layout
Carrier invoice audit
Checks carrier invoices against rates and shipments and routes exceptions.
Data needed
Carrier invoices, rate cards, shipment records
Cadel
Supplier risk monitoring
Monitors supplier and carrier performance and risk signals.
Data needed
Supplier performance data
Dock and yard scheduling
Schedules dock doors and yard moves to cut waiting time.
Data needed
Appointments, yard data
Predictive fleet maintenance
Flags vehicles at rising risk of breakdown.
Data needed
Telematics, maintenance records
Document AI for bills of lading and customs
Reads bills of lading and customs documents and flags missing or mismatched fields.
Data needed
Bills of lading, customs declarations
Live demo available
Proof
Industry experience. GoGenesis has delivered AI work for logistics organisations. Case details available on request.
Request case detailsAI Tools
Assess, try and explore the tools
01 · Quick assessment
Four questions. A score, three recommendations and matched evidence.
What type of operator are you?
02 · Live demos
Try it on synthetic sample data
Demo on synthetic sample data, not client data
Demand forecast
Two years of synthetic weekly sales history. The 12-week forecast uses the same week last year, scaled by recent growth; the shaded range (about 80%) comes from the method's own back-tested errors. The suggested order covers 4 weeks of lead-time demand plus safety stock, minus stock on hand.
— last 26 weeks · - - 12-week forecast with range
Forecast, next 4 weeks
1,424
Safety stock
31
Capacity to plan for
1,455 thousand parcels
| Week | +1 | +2 | +3 | +4 | +5 | +6 | +7 | +8 | +9 | +10 | +11 | +12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Forecast | 348 | 357 | 363 | 356 | 387 | 383 | 398 | 387 | 431 | 430 | 413 | 448 |
| Range | 332–364 | 341–373 | 347–379 | 340–372 | 371–403 | 367–399 | 382–414 | 371–403 | 415–447 | 414–446 | 397–429 | 432–464 |
A suggestion for the planner to review. Units: thousand parcels.
Demo on synthetic sample data, not client data
Document reader
Pick one of 7 sample documents: referral, claim and lab request (healthcare), batch record (pharma), RFI (construction), bill of lading (logistics) and permit application (government). AI extracts the fields; confidence is then checked in code against the document text, and anything below 80% is flagged for human review. Sample documents only — no uploads, so no personal or client data ever enters the site.
BILL OF LADING (synthetic sample) B/L No: SGLX-778120 Shipper: Northline Components Pte Ltd Consignee: Coastal Assembly S.A. Port of loading: Singapore Port of discharge: Santos Container: MSKU 4821[smudged] Gross weight: 18,420 kg Packages: 24 pallets