AI agents for logistics companies that cover operations desks and back-office chase - not a FAQ chatbot that cannot open a shipment case.
Hero Motocorp needed a website and app so workshops could order spare parts with multi-dark-store delivery - adjacent proof for AI agents that support ecommerce logistics and OMS workflows.
Live in 28 days, 800+ SKUs onboarded, six dark stores for 30-40 minute delivery, then scaled to eight cities as published on our portfolio.
Exception queues, missing docs, and blind dispatch burns capacity. AI automation for logistics helps when agents act inside policy - not when they invent ETAs.
You need Enterprise AI for logistics that survives peak weeks and audit questions - not a demo chatbot that dies after the pilot slide deck.
Logistics workflows sit inside larger ecosystems. We map agent patterns to the sectors your network already serves.
You get a clear path from one logistics KPI to monitored AI agents for logistics that warehouse and dispatch teams will actually use.
Start with one agent on one KPI, expand to a logistics suite, or embed a dedicated team. Pricing stays Custom until we see your WMS and TMS landscape. Quality means scoped tools, HITL gates, and ISO 27001 certified delivery when security reviews the build.
Published portfolio results you can verify. We do not invent OTIF or freight savings for AI agents for logistics.
A logistics chatbot answers. Scripted bots follow fixed trees. BigOhTech AI agents for logistics also draft exceptions, dispatch options, and inventory packs with approval when risk is high.
Six high-frequency places for AI agents for logistics operations - each with a human exit when stakes rise.
Stack choice follows your WMS and TMS landscape and which systems agents may touch. We stay on tools BigOhTech already delivers with.
Agents only help when they meet logistics systems where work already runs - WMS, TMS, messaging, and cloud.
We build AI agents for logistics so ops teams get bounded actions - not another FAQ widget that explains policy while exceptions and dock queues stall. How far has supply chain moved from rule-based automation toward agentic systems that execute multi-step logistics work?
Features that make AI agents for logistics useful in production - retrieval, tools, exception drafts, and audit gates together.
Typical scope covers discovery, exception mapping, WMS/TMS/OMS integrations, HITL gates, a pilot on one KPI, and production monitoring. First agents often own visibility, warehouse assists, dispatch drafts, inventory signals, freight exceptions, or ecommerce fulfillment chase.
We offer ongoing monitoring, prompt and tool updates, and incident support so agents stay accurate as carriers and inventory rules change. See our IT Support and Maintenance services for how post-launch ownership works.
They enrich late, damaged, and short-ship cases with reason codes and evidence links, then escalate when claim risk is high. Freight desks approve customer and carrier commitments.
A simple pilot can start after discovery and scoped connectors - often weeks, not a multi-year platform rewrite. Enterprise multi-agent suites take longer when WMS and TMS landscapes are complex.
You get pilot-first delivery, permissioned tool use, and honest adjacent proof - not invented OTIF or freight ROI. We build custom agents on your stack as an IT agency, not a locked chatbot product.
Only if you explicitly allow it - and even then we prefer draft-plus-HITL for dispatch commits. Most teams keep final assignment behind human approval at first.
Custom work product is handled under your MSA and SOW. We work under NDA for shipment and inventory data discussions.
Yes. Logistics AI consulting and Enterprise AI for logistics discovery sit in the pilot path so you pick one KPI and the systems the agent may touch before a full suite.
A chatbot answers. Agentic AI for logistics also calls tools - open a case, draft a route, flag a missing ASN - and stops for approval when risk is high.
We pick one KPI and one workflow, wire limited tools, and score task success and overrides inside about 40 free hours. You decide whether to expand without a long contract first.
No by default. It drafts gap and replenishment packs. Planners keep final purchase, transfer, and inventory write judgment.
Ecommerce logistics agents usually start on OMS promises, substitutions, and SLA chase. Warehouse agents start on pick, dock, and inventory assists inside WMS.
Share your project goals, timeline, and technical requirements. We'll review your requirements and send a tailored solution with an indicative estimate within 48 business hours.
