Problem
At a Unicorn Food Tech Giant, daily business performance was volatile - orders dipped in one city, a cuisine slowed, or a campaign underperformed. Leaders wanted to know why these shifts occurred, not just what the dashboards showed. But Root Cause Analysis (RCA) was slow. Data was spread across marketing, ops, sales, and ads dashboards. Analysts spent days stitching together contributors into a coherent story. By the time findings were presented, the window to act had passed, turning RCA into a post-mortem exercise instead of a proactive fix.
Playbook-Driven RCA
Domain experts trained Cimba on how they did RCA considering multiple factors (orders, discounts, ads, ops), converting them into playbooks, ensuring RCAs always pulled from the right signals.
Natural Language Queries
Users simply asked, “Why did orders fall in Mumbai last weekend?”, and Cimba stitched together multi-factor explanations into a structured cause stack.
Action-Linked Outputs
Every RCA is paired with prescriptive recommendations: “Re-enable evening ads” or “Reinstate 15% discounts in biryani category.” Trigger-based alerts kicked in when key metrics fell below thresholds, so issues were caught early.
Impact
Proactive Fixes
Cimba made root cause analysis a same-day capability - turning every “what went wrong?” into an actionable “here’s why, and here’s what to do.”
<30 mins
RCA turnaround, down from 2–3 days, enabling faster fixes before dips compounded.
6-8 hrs
Saved per analyst per week, redirected to edge cases & constructive planning.
