Eliminate the "Where is my shipment?" chaos. Connect your Chatbot directly to your TMS, WMS, and GPS tracking systems to provide real-time updates to customers, drivers, and operations teams instantly.
Move from reactive "fire-fighting" to proactive supply chain management with AI-driven communication.
Stakeholders can self-serve shipment status via LINE/Web 24/7, reducing dispatch center call volume by up to 60%.
When a truck breaks down or traffic hits, the bot proactively alerts the receiving team, rescheduling slots instantly.
Drivers upload photos of Proof of Delivery (POD) directly to the chat. AI verifies the image and updates the ERP immediately.
Customer requests delivery via Portal.
Bot notifies driver via LINE: "New Job Assigned".
Customer asks Bot: "Where is it?"
Bot queries GPS + TMS.
If delayed, Bot proactively alerts customer with new ETA.
Driver uploads photo. Bot closes order.
Deep binding with platforms like SAP, Oracle, and Inno Supply Chain Biz TMS to read status and write job updates.
Reach drivers where they are: LINE, WhatsApp, or SMS. No heavy app installs required for simple status reporting.
"Is the cargo too hot?" The chatbot can query IoT sensors on the truck and alert if temperature thresholds are breached.
def track_shipment(tracking_id): # 1. Query TMS for basic info tms_data = tms_client.get_order(tracking_id) # 2. Get Real-time GPS truck_id = tms_data['assigned_truck'] gps_data = telematics.get_location(truck_id) # 3. Calculate ETA Deviation planned_arrival = tms_data['planned_eta'] live_eta = google_maps.predict(gps_data.coords) delay_minutes = (live_eta - planned_arrival).minutes if delay_minutes > 30: return { "status": "DELAYED", "new_eta": live_eta, "reason": "Traffic detected" } return { "status": "ON_TIME" }
System Adapters:
Deploy CKN Chatbot Technology to bridge the gap between your systems, your drivers, and your customers.