An FDE-built exception-management tool for a logistics control tower
How FDEs could turn fragmented tracking data into a single tool that helps dispatchers resolve shipment exceptions faster.
The situation
A logistics control tower handles delayed and at-risk shipments using spreadsheets, emails and several carrier portals. Dispatchers spend most of their time finding information rather than solving problems.
Our approach
Map the exceptions
Sit with dispatchers to catalogue exception types, data sources and decisions.
Unify the data
Integrate carrier, TMS and customer data into one near-real-time view.
Prioritise with ML
Score exceptions by risk and customer impact so dispatchers see the most urgent first.
Draft the response
Generative AI drafts customer updates and carrier messages for dispatcher approval.
Measure and hand over
Track resolution times, then hand over to the in-house team with the Hyderabad pod for support.
Typical technology
What success looks like
Metrics we would agree with you up front and track throughout:
- Time to resolve an exception
- Exceptions handled per dispatcher
- On-time delivery rate
- Customer complaints
- Manual lookups per exception
This is an illustrative scenario showing how Inspired Infotech approaches this type of problem. It does not describe a specific client, and actual approach and outcomes depend on each organisation’s systems, data and goals.
Services behind this scenario
Forward Deployed Engineering
Senior engineers embedded with your teams to ship AI and data solutions into production, fast.
Learn moreSoftware Development
Enterprise applications engineered to run, scale and migrate the stacks that keep your business moving.
Learn moreAI & Machine Learning
Predictive models, computer vision and NLP built on your data and taken all the way to production.
Learn moreFacing a similar challenge?
Let’s talk about your situation and what a realistic plan looks like.