AI for logistics that answers "where is my delivery?" for you
Routes, drivers and delivery status in one place, with customers told about delays before they have to ask.
Deliveries are managed by phone calls and guesswork.
Drivers send updates on WhatsApp, the dispatcher keeps the plan in a spreadsheet, and customers call to ask where their order is. A delay is discovered when the customer complains.
- Distributors and logistics companies with their own fleet or carriers
- Operations managers coordinating drivers on WhatsApp
- Businesses that want AI for supply chain management without replacing their ERP
The agents
Groups the day's deliveries by region using Google Maps, checks vehicle capacity and builds a route plan for the dispatcher to approve.
Tracks fuel, tolls, maintenance and cost per delivery from the SAP S/4HANA and Google Sheets records, and flags vehicles or routes that cost too much.
Collects status updates from drivers on WhatsApp and tells customers when to expect their delivery, or that it is late and why.
How it works
- Orders ready to ship are pulled from SAP S/4HANA or the shared sheet each morning.
- Nina proposes routes and loads, and the dispatcher approves or adjusts them.
- During the day, drivers send updates on WhatsApp, and Jaca records each stop.
- If a delivery will be late, Jaca warns the customer and the dispatcher right away.
- At the end of the day, Darwin adds the costs and the team sends a summary of deliveries, failures and returns.
Example of what you get
End-of-day delivery report
- Deliveries completed, late and failed, by route and driver
- Reasons for each failed delivery and the new date
- Customers notified of delays
- Cost per route and vehicles due for maintenance
What changes
- Customers hear about delays from you, not after waiting
- Dispatchers spend less time on the phone with drivers
- Fleet costs are visible per route and per vehicle
Where a person is still needed. Safety, driving hours and vehicle condition are decisions for your managers, not the team. Route plans need the dispatcher's approval and depend on drivers sending updates.
Works with what you already use
These are examples. Connect the tool your company already uses for the same job, or your own system through MCP or API.
Logistics and deliveries team
How do AI agents for logistics work with drivers?
Drivers keep using WhatsApp. They send a short message or photo at each stop, and the agent records it. No new app is needed.
Is this AI for logistics companies only?
No. It fits any business that delivers its own goods, such as distributors, wholesalers and stores with a fleet. AI agents for supply chain tasks like this work alongside your current ERP.
Is customer and route data safe?
Data stays in your ERP, sheets and WhatsApp Business account. Customers only receive messages about their own delivery, and every action is logged with its cost.
How long does it take to set up an AI agent for supply chain management?
Connect your order source, WhatsApp Business and Google Maps, and list your vehicles and regions. Plan a working session for it. Opening the team is free, and you can start with a single route.
How does AI plan delivery routes?
Nina groups the day's deliveries by region with Google Maps and checks each vehicle's capacity, then proposes a route plan. The dispatcher approves or adjusts it before drivers leave. Traffic, safety and local knowledge still count in the final decision.
Can customers get delivery updates on WhatsApp?
Yes. Jaca tells customers when to expect their delivery and warns them right away if it will be late, with the reason. Customers only receive messages about their own order.
What happens when a delivery fails?
The driver sends the reason on WhatsApp, Jaca records it and informs the customer and the dispatcher. The end-of-day report lists every failed delivery with its reason and the new date.
Which systems does AI for logistics connect to?
SAP S/4HANA or a shared Google Sheet for orders and costs, Google Maps for routes, and WhatsApp Business for drivers and customers. Summaries go to the team by Slack, Teams or e-mail.
Can AI help reduce fleet costs?
Darwin tracks fuel, tolls, maintenance and cost per delivery by route and vehicle, and flags the ones that cost more than expected. It also lists vehicles due for maintenance. Decisions about routes, vehicles and suppliers stay with your managers.
What is the difference between this and a fleet tracking system?
A tracking system shows where vehicles are. This team works with the people: it collects stop updates from drivers, tells customers about delays, proposes routes for approval and reports costs. It can work with or without GPS tracking.