There's a cost that rarely shows up on the balance sheet at a freight company or warehouse: the time operations staff spend answering the same question over and over — where's the shipment, how much stock is left, when will the order arrive. AI for logistics cuts that hidden cost: an agent integrated with the company's ERP, WMS or TMS retrieves up-to-date data and answers customers, drivers and internal staff in real time, on every channel, without relying on emails or phone calls. The time that gets freed up doesn't disappear: it goes back to the people handling exceptions, supplier relationships and the operational calls an algorithm can't make on its own. Athics designs these solutions from scratch and connects them to the systems the business already uses, without needing to replace them.
Logistics: real-world use cases
Shipment tracking assistant
Integrated with the TMS, the agent answers customers and drivers on shipment status, expected timing and any changes.
Warehouse checks in chat
The agent queries the WMS and reports a product's availability, location and stock level in real time.
Order and supplier support
The AI agent collects order requests, checks availability and flags exceptions to the purchasing team, reducing email back-and-forth.
AI benefits for your SME
- Real-time shipment tracking
- Customers and drivers get the up-to-date status of a shipment without contacting the operations office.
- Fewer calls about the same order
- The most frequent questions on order status, stock levels and delivery times are handled autonomously by the AI agent.
- Warehouse data available in chat
- Staff check product availability and location directly in chat, without moving around or searching the management system.
- Faster onboarding
- New operators quickly find procedures and operational information by asking the AI agent, instead of interrupting colleagues.
FAQs about AI and Logistics
- Does the AI agent actually read data from ERP, WMS and TMS, or does it just give generic answers?
- It reads real data: the agent connects via API to the ERP, WMS or TMS already in use and answers with the up-to-date status of shipments, stock and orders, not generic or approximate information.
- When do you start seeing concrete results from an AI project in logistics?
- The first signs show up during testing with warehouse staff, as the most repetitive questions start being absorbed by the agent: in most cases, an Athics project reaches full production in 4-8 weeks.
- Can the AI agent also answer drivers on the road?
- Yes, it can be consulted from a smartphone or WhatsApp for updates on routes, documents and delivery status.
- Does AI replace the logistics operations team?
- No. It automates repetitive tracking, availability and order-status requests, leaving the team to handle exceptions and operational decisions.
Let's talk about your project
Tell us which requests take up the most time in your operations office: in a demo we'll show you how AI can automate them.
Contact us →