AI for logistics that plans the route and flags the stuck shipment.
We embed engineers inside 3PLs, freight forwarders, last-mile providers, and in-house logistics teams for 4 weeks ride routes, sit in control towers, audit every GRN, read every detention invoice. Then we ship execution-grade AI every month. ₹1.2 Cr monthly savings on a 400-truck fleet is not a slide it is what a cold-chain 3PL measured in 120 days.
reduction in empty running
faster invoice-to-proof-of-delivery matching
fewer SLA-missed shipments
Why "AI for logistics" stops working on day 30
The model doesn't know your contracts
Optimisers without tariff, SLA, and detention terms propose routes that look great on paper and violate the contract. Ops overrides the model by week two.
Telematics data is incomplete
Mixed fleets run 3 GPS vendors, 2 temperature loggers, and driver apps with patchy adoption. Missing data is treated as no-event and the model makes bad calls.
Dispatchers were never in the pilot
Optimisation was scoped with IT and central planning. Dispatchers who actually move the truck were ignored. The system is overridden on day one.
Measurement is delivery-count, not margin
KPIs are "on-time deliveries", not "margin per route". AI optimises for the wrong metric loads are completed, profitability declines.
Every metric is a problem we solved.
Real numbers from live logistics & supply-chain deployments.
Empty miles bleed margin
Freight invoices delay payments 3 weeks
Control towers flag exceptions too late
Cold-chain breaches caught after loss
What your team actually says.
"Empty miles are 18%. My P&L can't carry it."
COO
"I learn about detention from the driver, 6 hours late."
Control Tower Head
"Invoice reconciliation delays payments 21 days."
Finance Controller
"My branch managers are planners, not managers."
Regional Ops Head
"Temperature breaches are audited, not prevented."
Cold-Chain Manager
"Customs paperwork slows every international leg."
Freight Forwarder
Use cases that move the needle.
01Return-Load Marketplace Matching
AI matches empty return legs with partner/marketplace freight in real time.
02ETA & Detention-Risk Prediction
ML predicts late arrivals and detention risk at the leg level; triggers pre-emptive actions.
03Freight Invoice Auto-Reconciliation
Reads 11+ invoice formats, matches to PO / POD / tariff, flags overbilling.
04Last-Mile Route Planning
Branch-level auto-planning with time-windows, SKU compatibility, and COD handling.
05Cold-Chain Temperature Anomaly Detection
Time-series ML spots temperature drift on reefer units before quality is compromised.
06Customs & Documentation Automation
AI drafts BOE / invoice / packing list data against HS-code policy and prior shipments.
Four pillars. Translated for Logistics.
An Engineer Inside Your Control Tower
Our Forward Deployed Engineer rides routes, sits in the control tower, shadows dispatchers, and walks warehouses. They read your contracts and understand why detention is the P&L killer nobody wants to own.
Logistics-Grade R&D
Our Research Engineers run 2-week sprints on your telematics, POD, and invoice data ETA drift, detention-risk modelling, vehicle-SKU compatibility so the solution survives a real operating day.
A Working Release Every 30 Days
Mid-month shadow-run on one branch. End-of-month go-live on one lane. Every release ships with dispatcher-facing UX, a rollback plan, and a margin-impact report.
We Own the Margin-Per-Route Number
We don't bill hours. Every month you get delta on empty running, SLA adherence, detention-risk hit-rate, invoice cycle, and margin per route. If the numbers aren't moving, you'll know.
What happens in the first 30 days.
Operations Walk & Data Inventory
Our engineer rides routes, sits in the control tower, and shadows dispatchers. Maps TMS, WMS, telematics, POD, invoicing, and customer systems.
Contract & Tariff Modelling
Customer SLAs, carrier tariffs, detention rules, and compliance obligations translated into the solver's constraint set.
AI Opportunity Scoring & Mockups
Each opportunity scored by margin impact, feasibility, and data readiness. Mockups validated with dispatchers and finance.
Strategy Deck & Roadmap Delivery
12-month AI roadmap, cost-benefit case, integration architecture, and measurement plan handed over. Yours to keep.
What you walk away with
We speak your regulatory language.
Regulations & Certifications
- Motor Vehicles Act — Indian commercial-vehicle operations
- E-Way Bill / GST — Movement-of-goods compliance
- Customs Act — For cross-border freight
- FSSAI Cold Chain — Food-grade cold-chain
- DPDPA 2023 — For customer PII handling
Data & Protocol Standards
- EDI (EDIFACT, ANSI X12)
- GS1 EPCIS
- OpenAPI / REST
- ISO 6346 (containers)
- Telematics vendor APIs
Enterprise Systems We Integrate
- TMS Blue Yonder, Oracle OTM, Manhattan, FarEye, Shipsy
- WMS SAP EWM, Manhattan, Blue Yonder, custom
- Telematics Intangles, LocoNav, Samsara, Fleetx
- Last-mile FarEye, Locus, Shipsy, Loginext
- Customs ICEGATE, SAP GTS
- Freight marketplaces Rivigo, BlackBuck, TruckSuvidha
Questions we hear on the shop floor.
Book the 4-Week Logistics Audit
3PL · FTL · LTL · last-mile · cold-chain aware. TMS-native.
The first step is always a conversation.