India, Aug. 3 -- Trying to make sense of enterprise data can often feel like searching for a needle in a haystack.

For brands like Bata, the challenge was never the lack of data, but too much of it scattered across disconnected systems. Sales, inventory, pricing, footfall and seasonal demand all sat in different places, making it difficult for teams to quickly identify what was actually driving a slowdown.

FireAI's platform brought those datasets together, traced the decline through a causal chain and surfaced the underlying factors behind the dip. What once took days of investigation could now be turned into a structured analysis in minutes.

A similar problem played out inside IRCTC's network of kitchens. While AI-enabled cameras were...