Software Development for Logistics & Transportation

Real-time GPS tracking does three things that translate directly to money: it cuts fuel theft (drivers know they're being watched, idling and detours drop), it improves utilisation (dispatchers can see which truck is closest to a new load), and it speeds up disputes (proof of arrival/departure resolves customer demurrage claims in minutes instead of days). Indian fleet operators we've worked with typically save 12-22% on fuel within the first 6 months and add 1-2 extra trips per truck per month from better utilisation. ROI on a ₹6,000-12,000 GPS device usually pays back in 3-5 months.

Yes. We pull FASTag transaction data via the NPCI/NHAI APIs (where the operator has authorisation) so toll costs flow into trip P&L automatically — no manual reconciliation. For e-way bills, we integrate with the GSTN e-way bill API (EWB) to generate, update, and cancel bills directly from the TMS, including Part B updates when vehicles change. The system tracks expiry and auto-extends where eligible. We also support consolidated e-way bills (CEWB) for transporters carrying multiple consignments. Compliance time drops from 8-12 minutes per dispatch to under 90 seconds.

We use Google OR-Tools (open source) to solve vehicle routing problems with constraints — time windows, vehicle capacity, driver shifts, and skill matching. The engine generates the lowest-cost route assignments across all riders/drivers in seconds. For dynamic delivery (orders coming in through the day), we re-optimise every few minutes so a new order goes to the rider whose detour cost is lowest. We also include real-world constraints: traffic patterns from Google Maps, no-entry zones for trucks, and rest breaks. Optimised routes typically deliver 25-40% more orders per rider per day vs manual dispatch.

Our driver app captures POD as a structured event: GPS coordinates, timestamp, recipient name, signature, photo of the package and door, and any exception reason (wrong address, refused, partial delivery). Everything works offline — drivers are often inside warehouses, basements, or rural pockets with no signal — and syncs when connectivity returns. The customer portal shows a live POD page within seconds of delivery, and B2B clients can pull POD data via API for their accounting. This typically cuts customer-billing disputes by 70-80% and accelerates payment cycles by 5-10 days.

Yes — multi-client is a first-class concept in our WMS. Each client's inventory is logically separated with its own SKUs, batch rules, expiry handling, and storage zones. Billing supports per-pallet-per-day storage, per-order pick fees, and value-added-service charges (kitting, labelling, gift wrapping). Each client gets a portal where they see their stock, place outbound orders, and download invoices. Operations stay efficient because put-away, picking, and cycle counting are unified across clients with directed workflows. We also support seasonal client expansions and shared-staff scheduling without compromising data isolation.

A focused TMS for a 30-150 truck fleet typically goes live in 3-5 months, with the first version covering trip management, GPS, e-way bill, and POD. WMS deployments range from 4 to 8 months depending on warehouse complexity and SKU count. We follow a phased rollout: discovery (3-4 weeks), pilot at one warehouse or fleet depot (8-10 weeks), and then scale-out. Critical success factors are data cleanup (master vendors, customers, SKUs), barcode-label readiness, and dedicated SPOCs from operations and accounts. Post-launch, we provide on-ground support for 4-6 weeks because logistics teams need real-time help in the first month.