Logistics AI Engineering

AI Engineering for Logistics & Supply Chain

XPndAI builds AI route optimization engines, warehouse automation, shipment tracking intelligence, and logistics software for 3PLs, freight companies, and supply chain enterprises.

What We Build
For Your Business

End-to-end AI and software engineering with measurable enterprise outcomes.

How Leading Teams
Deploy This Technology

1

Route Optimization — 3PL Company

A third-party logistics company deployed our AI route optimization engine for their 500-vehicle fleet. The model reduced average delivery route distance, improving on-time delivery rates while cutting fuel costs — paying back the implementation investment rapidly.

2

Document AI — Freight Forwarder

A freight forwarding company automated their customs documentation workflow. Our Document AI extracts shipping bill data, validates against manifest, and pre-fills customs forms — reducing documentation processing time from hours to minutes per shipment.

Built With Modern Tools

PythonOR-ToolsOpenAIFastAPIPostgreSQLRedisReactGoogle Maps APIAWSDocker

Common Questions Answered

Everything you need to know before starting an AI project with XPndAI.

What AI solutions does XPndAI build for logistics companies?

XPndAI builds AI route optimisation engines, predictive demand forecasting, document AI for shipping documents and PoDs (Proof of Delivery), AI customer support agents for tracking queries, smart warehouse automation integration, driver communication voice AI, and fleet management AI dashboards.

How much does logistics AI development cost in India?

Logistics AI at XPndAI starts from ₹8–15L for an AI tracking chatbot or document extraction pipeline, ₹25–70L for a demand forecasting or route optimisation engine, and ₹1–2.5Cr for an enterprise logistics intelligence platform. Fixed-price, milestone-based delivery.

Can AI reduce logistics costs and improve delivery SLAs?

Yes. XPndAI logistics clients typically achieve: 15–25% reduction in fuel costs (via AI route optimisation), 30–50% faster PoD processing (via Document AI), 40–60% reduction in tracking call volume (via AI tracking bots), and 20–35% improvement in on-time delivery rates through predictive disruption alerts.

Can you integrate AI with SAP, Oracle TMS, or Shiprocket?

Yes. XPndAI integrates AI pipelines with SAP TM, Oracle SCM, Shiprocket, Delhivery APIs, Blue Dart, and custom WMS/TMS platforms. Our AI agents pull real-time shipment data, push optimised route decisions, and trigger automated customer notifications across all carrier networks.

How long does logistics AI development take?

An AI customer tracking bot or PoD document AI takes 4–6 weeks. A demand forecasting model with historical data training takes 8–12 weeks. A full logistics intelligence platform takes 4–6 months. XPndAI delivers a working PoC in Week 2 to validate accuracy on your data before full build.

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Deep Dive. Free.

Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.

  • Technical Architecture Blueprint — custom for your use case.
  • Scalable Infrastructure — built for enterprise growth.
  • Production-Ready Code — rigorous QA and deployment.
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