Categories / Customer Support & Inbox

#makeitfuture client: Make AI support ranking/filtering

high specificsAdded 2026-10-13
Business
digital transformation agency client (agency itself 51–100 employees, Romania)
Task
optimize AI customer-assistance filtering + response ranking without hard-coding every update
Result
AI case resolution 34% → 92% (~3×); 55% better response accuracy; 11 ranking strategies tested in 2–3 weeks vs ~6 months coded
Tools
  • Make
  • OpenAI
Setup
  1. visual Make scenarios for filter + rank loops
  2. iterate strategies in no-code
Source
make.com ↗
Specifics rating
high specifics high = concrete numbers/quotes; med = partial; low = qualitative

Results as reported by the source; not independently verified.

More in Customer Support & Inbox

5 SMB Automations This Week

One short email a week: five real automations from small businesses, with the tools and setup steps. Free.

Coming soon. The newsletter launches shortly — check back here.