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.
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.
Custom work product is handled under your MSA and SOW. We work under NDA for shipment and inventory data discussions.
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.
