The Situation
A fast-growing regional logistics firm was handling 200+ customer enquiries per day across email and phone — shipment status checks, delivery window changes, damage claims, and account queries. Two customer service staff were overwhelmed. Response times had slipped to 6–8 hours.
The MD wanted to expand the team but couldn't justify the headcount cost at current margins. Meanwhile, the operations team was spending 90 minutes every morning manually building the dispatch schedule — pulling from three separate spreadsheets and a fragmented order management system.
What We Built
Integrated with their order management system and tracking API. Driver-facing tooling unchanged. The entire layer of AI operation is invisible to end customers — they simply get faster, more consistent responses.
Results — 90 Days Post-Launch
| Metric | Before | After |
|---|---|---|
| Customer enquiries resolved without human | ~5% (basic FAQ) | 74% |
| Average customer response time | 6–8 hours | Under 8 minutes |
| Daily dispatch scheduling time | 90 minutes | 12 minutes |
| Customer satisfaction score (internal) | 6.8 / 10 | 8.4 / 10 |
| Headcount added to handle growth | — | 0 |
“We were expecting to hire two people this quarter. We didn’t. And our response times are better than they’ve ever been.”
— Managing Director, regional logistics firm, Manchester & LeedsWhat Would Your Score Look Like?
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