AI & Agentic Solutions Case Studies
2 documented engagements where an AI system acts on live data without a human in the loop: an agentic pricing engine that cut cost per sale 52% for Bajaj Electricals, and an in-cabin driver safety system that cut accidents 85% across Nayara Energy's fuel-transport fleet.
At a glance
Where an agentic system earns its keep
Both engagements above share a pattern worth naming: the system doesn't wait for a person to notice a change and react to it, it watches a live signal continuously and acts inside the window where acting still matters. That's a different build than a dashboard or an alert email, and it's the kind of problem worth a direct conversation before committing to an approach.
Bajaj Electricals — DynaPrice
An automated pricing engine that watched competitor prices in real time and repriced Google Search listings automatically. CTR up 300%, cost per sale down 52%.
Read case study →Oil & Gas / Fleet SafetyNayara Energy — Kavach
An AI and computer vision system reads a tanker driver's face in real time, watching for fatigue, distraction, smoking, and phone use. 85% reduction in accidents due to human error.
Read case study →Frequently asked questions
Systems that watch a live process and act on it without a human in the loop: an agentic pricing engine that repriced Bajaj Electricals' Google Search listings the moment competitors moved, and an in-cabin computer vision system that reads driver fatigue and distraction in real time for Nayara Energy's fleet.
DynaPrice cut Bajaj Electricals' cost per sale by 52% and lifted CTR 300% by automatically repricing against real-time competitor data. Kavach cut accidents due to human error by 85% across Nayara Energy's fleet of over 10,000 tankers by detecting fatigue and distraction before they became incidents.
Yes. Kavach runs inside Nayara Energy's fuel-transport fleet, a safety-critical, high-liability environment, and alerts a live control room in real time rather than only logging incidents after the fact.
Both systems act on live, changing data rather than fixed rules: DynaPrice watches competitor prices continuously and reprices without a scheduled batch job, and Kavach reads a driver's face frame by frame rather than relying on periodic check-ins or self-reporting.