Route inefficiency
Routes built on yesterday's traffic, no real-time replan, no driver feedback loop. Every extra kilometre is unit-economic damage.
Saudi logistics is dense in some corridors and brutally sparse in others. We engineer route-optimisation, warehouse management and IoT-fed telemetry that respond to Riyadh-traffic, last-mile geography and FASAH customs realities, so cost per delivery drops, on-time rates rise, and the operations team stops fighting fires.
Pickup, drop-off and payment terms are geocoded and locked in.
The nearest driver is assigned with live tracking end to end.
Proof of delivery captured, escrow released automatically.
Proof of delivery triggers automatic escrow release.
Orders, dispatch, live tracking, COD/escrow and proof of delivery, one platform built end to end.
The patterns we see across Saudi 3PLs, e-commerce fulfilment arms and shipper networks, and the engineering that fixes them.
Routes built on yesterday's traffic, no real-time replan, no driver feedback loop. Every extra kilometre is unit-economic damage.
Stock locations drift from records, pick paths are unoptimised, mis-picks creep up. The metric the team trusts is the spreadsheet, not the WMS.
Failed deliveries, redrives, address ambiguity. The unit economics of the final five kilometres dominate everything upstream.
Each carrier has a different API, format and SLA. Customer-facing tracking gives up; support drowns in "where is my order?"
FASAH submissions handled manually, errors caught late, containers sit. A documented flow is the difference between profitable and not.
Forward flow is engineered, reverse flow is improvised. Refurb, restock and refund cycles eat into the original margin.
Production modules across 3PL, fulfilment and shipper-network engagements.
Constraint-aware solver that respects vehicle type, driver hours, time windows, traffic and replans when reality changes mid-shift.
Putaway, pick path, slotting and cycle-count engineered for real Saudi warehouses, handhelds, voice and printer-friendly.
Vehicle, container and cold-chain sensors streaming into an event pipeline, with alerts that fire before a customer complaint does.
One API across local and international carriers, with normalised tracking events and a unified customer-facing status surface.
Structured customs submissions, status polling and exception handling, wired into the rest of the shipping lifecycle, not in a separate tool.
Customer-initiated returns, pickup scheduling, refurb routing and ZATCA-compliant credit notes, engineered, not improvised.
Usually no. NX Grow engagements typically wrap existing WMS with the route, telemetry and customer-facing layers, then incrementally replace the modules that are causing the most pain. The business stays live throughout.
Accuracy comes from feeding the model real traffic, real driver behaviour and real dropoff outcomes, not from the algorithm in isolation. After two to four weeks of feedback-loop tuning, the routing meaningfully outperforms manual planning across our delivered corridors.
Yes. FASAH for inbound, partner carrier integrations for outbound, and a normalised shipment model that tracks both border and domestic events.
The IoT telemetry layer is engineered for temperature-sensitive chains with continuous monitoring, alarms, and exception evidence the regulator and the customer both accept.
Tell us about your routes, warehouses, carriers and bottlenecks. We'll map the architecture that cuts cost per delivery, and the integrations behind it.
We usually reply within one business day