Real results, on real data
How Indian teams use FireAI to answer the question their dashboards could not: not just what moved, but why, and what to do about it. Each story covers the challenge, the approach, and the numbers.
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Every case study covers the same ground: the decision that was stuck, how FireAI joined the existing systems, and the measurable change.
One real-time view across freight, transport, and finance
ISA Logistics, an Indian freight, transport, and CFS operator (200+ employees, 90+ trucks, a 100-acre CFS facility), used FireAI to replace manual MIS with 13 role-based dashboards, Tally integration, and OCR automation. Manual effort fell 60 to 70%, shipment tracking dropped from hours to minutes, and data accuracy rose above 98%, without disrupting the systems ISA already ran.
Read case studyFrom HQ to state-wise net sales, in one report
Daffoworth Pharmaceuticals used FireAI to replace scattered spreadsheets with a single, LLM-enabled Master Report and six role-based dashboards covering sales, returns, collections, and marketing ROI. In a two-week rollout, net sales grew 10.76% quarter on quarter and losses from sales returns fell 22.6%, with region-wise ROI and expiry-risk controls guiding where to spend and what to fix.
Read case studyWhat is inside every case study
The real challenge
The decision that was stuck, and why the old reporting could not answer it.
What FireAI did
How it joined the existing systems and traced the cause, not just the chart.
The numbers
The measurable change, with the time-to-value and the metrics that moved.
Named or anonymous
Full attribution where the client agreed, an industry descriptor where they did not.