← All case studies
E-commerce logistics · Xpressbees
AI chatbot workflows for delivery exceptions at Xpressbees
Using AI chatbot workflows to capture non-delivery and non-pickup data — more accurate, 75% faster and with half the manual effort.
80%more accurate delivery data
The problem
Every failed delivery (NDR) or failed pickup (NPR) needs accurate data to decide what to do next. Capturing it manually was slow, inconsistent and expensive at logistics scale.
What I did
- Designed AI chatbot workflows that capture NDR and NPR details directly.
- Unified the communication channel framework so customers, vendors and operations used consistent channels.
- Revitalised the consumer website with an SEO-led relaunch.
Outcome
- 80% better data accuracy, 75% faster processing and 50% less manual effort.
- Communication costs down 15% and vendor response 40% faster.
- Website traffic up 150% in 30 days, with online leads up 20%.
Working on a similar problem?
I'm open to senior product roles and select consulting work.