THANASI Infotech delivers production-ready AI automation, intelligent integrations, and outcome-driven IT solutions tailored for Transportation, Logistics, Freight, Warehousing, and End-to-End Supply Chain operations. Deploy in 2–4 weeks. Measure real ROI.
Most supply chain IT initiatives never deliver on their promise — not because of technology, but because of disconnected strategy, siloed data, and vendors who bill hours without owning outcomes.
AI models trained on sanitized data fail inside live transportation and warehouse management systems. Disconnected pilots cost time and budget without delivering operational impact.
Logistics demands streaming intelligence. GPS, EDI, IoT, and sensor data can't wait for nightly batch jobs. Delayed decisions mean missed SLAs, unhappy customers, and escalating costs.
Demo environments don't reflect peak season volumes, multi-carrier complexity, or legacy ERP constraints. Beautiful dashboards without operational depth deliver zero ROI.
Bill of Lading, customs declarations, PODs, invoices, AWBs — manual handling drives data entry errors, compliance risks, and cash flow delays across your supply chain network.
Fragmented carrier portals, manual Excel tracking, and siloed 3PL data mean your operations team is always reactive — firefighting exceptions instead of preventing them.
Traditional vendors bill time and materials with no skin in the game. Project creep, unclear ownership, and opaque estimations drain budgets while business outcomes remain undefined.
Every service is architected for logistics operational realities — not generic enterprise templates. Production-deployable, integration-ready, and outcome-accountable.
Autonomous AI agents that manage end-to-end logistics workflows — from purchase order to final delivery — without human intervention. Self-healing, self-optimizing, and ERP-aware.
Freight Automation Order OrchestrationAI-powered extraction and classification of BOL, customs docs, invoices, AWBs, and PODs with 94%+ accuracy. Auto-syncs to TMS, ERP, and financial systems with full audit trails.
OCR + NLP Compliance ReadyAI-powered visual inspection at warehouse entry, loading bays, and distribution centres. Detects damage, verifies labels, checks load security — integrated with WMS in real time.
Damage Detection Label VerificationReal-time logistics dashboards with predictive cost modelling, carrier performance scorecards, demand forecasting, and exception analytics — all unified into your control tower.
Predictive BI KPI AutomationSeamlessly connect legacy TMS, WMS, ERP, and carrier systems via API-first architecture. No rip-and-replace — expose legacy capabilities as modern, governed APIs within weeks.
EDI 204/214/210 API MeshDesign and operate logistics workloads across AWS, Azure, and GCP with unified governance, cost optimization, and DR built for 24/7 operational resilience at scale.
AWS / Azure / GCP 99.99% UptimeModular SAP, Oracle, MS Dynamics integrations designed for logistics. Add, replace, or upgrade components without disrupting core operations — built for the pace of supply chain change.
SAP / Oracle MS DynamicsCreate a living digital replica of your fleet, warehouse, or supply network. Real-time synchronisation across systems enables predictive simulation, what-if analysis, and proactive management.
IoT Telematics Digital TwinBridge legacy systems to modern platforms without disruption. Connect decades-old freight software with current CRM, BI, and partner systems using secure, monitored middleware.
3PL / Carrier APIs MiddlewareDriver apps, customer portals, shipper dashboards, and broker platforms — built native and PWA for logistics teams operating in the field, on the dock, and in the control tower.
Driver Apps Shipper PortalsLost source code? Undocumented legacy transport platform? We reconstruct, reverse engineer, and modernise critical logistics systems with IP safeguards and full documentation.
Source Recovery System ModernisationRound-the-clock proactive monitoring, incident management, SLA governance, and continuous optimisation for mission-critical logistics applications — with 99.99% uptime commitment.
Proactive Monitoring SLA GovernanceSystematic audit and upgrade of legacy .NET, Java, Node.js, and PHP logistics applications. Automated OWASP vulnerability scanning, CVE remediation, and zero-downtime framework migration with full regression coverage.
Every AI solution is built on your actual data, integrated into your live operations, and governed with 100% data privacy — no third-party AI cloud exposure.
Manual dispatchers optimise routes based on experience alone, ignoring real-time traffic, driver HOS, vehicle capacity, and multi-stop sequencing. Fuel costs 25–35% of total opex.
Reinforcement learning engine integrated with TMS + live traffic APIs continuously recalculates optimal routes. Outcome: 12–18% fuel savings, 15% OTD improvement.
Teams process thousands of BOLs, customs forms, and invoices manually — creating 72-hour payment delays, customs clearance errors, and 8–12% keying error rates.
Multi-model IDP (OCR + NLP + validation rules) processes any document type with 94% accuracy in under 2 minutes. Full audit trail, ERP auto-post, and exception routing.
Static slotting, inefficient pick paths, and reactive labour scheduling result in 20–30% operational capacity waste during peak periods and preventable order delays.
Dynamic slotting intelligence and labour optimisation engine integrated with WMS — 18–22% increase in orders per labour hour, 25% reduction in travel time.
Customer escalations, SLA penalties, and last-minute firefighting stem from discovering delays after they've already happened — costing relationships and revenue.
Predictive delay models analysing GPS, weather, carrier patterns, and historical data flag at-risk shipments 24–48 hours in advance. 40% reduction in late deliveries.
Inaccurate forecasting creates capacity shortages at peak and excess inventory in slow periods — tying up capital, driving emergency freight costs, and missing customer commitments.
ML models analysing shipment history, seasonality, customer buying patterns, and market signals predict volume 2–6 weeks ahead with 15% better accuracy than rule-based systems.
Your shipment data, customer data, and routing algorithms never leave your control. Our AI runs where your data lives.
Explore how we've transformed logistics, transport, and supply chain operations for enterprise clients across the globe.
Manual cab booking, no real-time driver tracking, scattered driver-vehicle assignments, inaccurate fare calculation, and zero operational visibility causing service delays.
No digital booking channel, manual coordination via phone, inconsistent service delivery, poor order tracking, and payment complications across all channels.
Manual Excel-based tracking of driver pickups/drops, error-prone salary calculations, no automated reporting, and limited visibility into driver activity patterns.
Logistics, retail, and event management lacked real-time visibility into asset and personnel movement — creating safety risks, inventory discrepancies, and resource inefficiencies.
11+ mission-critical applications with no centralised support framework. System downtime, integration failures, compliance risks, and fragmented vendor management.
Enterprise logistics companies managing legacy RDBMS with critical scalability bottlenecks and prohibitively expensive manual migration processes to modern NoSQL systems.
We've replaced opaque T&M billing with an outcome-accountability model where our success is directly tied to yours. Every engagement is structured around measurable logistics KPIs.
The old way of buying IT services — costly and misaligned
Aligned incentives — we succeed only when you do
A transparent, structured process with defined handoffs and accountability at every stage
Production AI deployed into your existing transportation, warehouse, and enterprise systems — no rip-and-replace, no disruption.
Designed for VP Operations, CTO, CIO, and Procurement leads who need clear, actionable information without wading through feature specs.
Enter your current freight spend, fleet size, and SLA metrics. Get an instant personalised ROI projection for AI automation.
Download a clean, one-page architecture diagram showing exactly how our AI integrates into your TMS, WMS, and ERP stack.
Detailed data governance framework, GDPR/ISO27001 alignment documentation, and our standard NDA template for your legal review.
Submit your requirements today and receive a scoped, outcome-based proposal with fixed pricing and KPI commitments within one business day.
Industry-validated benchmarks comparing before/after KPIs across route optimisation, document processing, warehouse throughput, and forecasting accuracy.
Filtered by sub-sector: road freight, 3PL, cold chain, e-commerce fulfilment — deep dives on your specific logistics segment.
Objective comparison framework for evaluating logistics AI vendors — criteria covering integration depth, privacy controls, pricing model, and support model.
See a live integration into a sample TMS/WMS environment with your use case data. Includes Q&A with our principal engineers — no sales pitch.
"THANASI deployed a fully integrated AI route optimisation engine into our live TMS within 3 weeks. The 17% fuel cost reduction was visible in the very first billing cycle. This is what outcome-first delivery looks like."
"Our document processing team was handling 4,000 BOLs per day manually. THANASI's IDP solution now processes 90% of them automatically with 96% accuracy. What used to take days now takes minutes."
"The data privacy commitment was a critical factor for us. THANASI's on-premise AI deployment gave us all the capabilities of cloud AI without any of the data exposure risk. Our legal and compliance teams were fully satisfied."
Choose a time that works for you. Our principal logistics AI architect and a senior client partner will join — no junior sales reps, no scripted demos.
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Stop evaluating. Start delivering. Join 230+ enterprise clients who have transformed their supply chain with THANASI's outcome-driven AI solutions.
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Sarah Mitchell
Senior Client Success Partner
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