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 studySix years of Excel reports, now one live layer
A Dubai-based electronics distributor used FireAI to replace six years of hand-assembled Excel reports with one live intelligence layer spanning five profit centers and two legal entities. Group gross profit is now calculated on a standardised cost base, intercompany sales are stripped from external performance, and inventory KPIs across 12,000+ SKUs compute automatically.
Read case studyEvery diner, every platform, one weekly read
An F&B chain in Vietnam adopted FireAI review intelligence to unify reviews from five platforms in three languages into one dashboard. Every review is tagged for sentiment, theme, and dish mentions, six experience pillars are scored weekly, and a guardrailed reply is drafted for each. This is an early-stage deployment; the figures below are Q1 targets.
Read case studyOne scored view of a bank’s vigilance posture
A public sector bank’s Chief Vigilance Officer used FireAI to replace manual cross-referencing of five or six disconnected systems with one continuously-scored vigilance intelligence layer: six purpose-built risk modules, a composite risk score across branches, officers, accounts, and zones, and eight command rooms aligned to the Central Vigilance Commission’s reporting framework.
Read case studyWhy sales dropped, answered in minutes
A leading footwear retailer in India faced a persistent, unexplained drop in sales with no clear cause. FireAI deployed a causal chain analysis that traced each drop back through footfall, conversion, pricing, inventory, and festival demand, joined the data into one view, and answered plain-language questions instantly. Investigations that took days across several teams now resolve to a root cause in minutes.
Read case studyFrom Tally export to filed-ready GSTR-2B in one run
A chartered accountancy firm handling GST compliance for manufacturing, trading, and distribution clients across India used FireAI to replace manual Excel reconciliation with a ten-step automated pipeline. A Tally Day Book export now becomes a validated, filed-ready GSTR-2B in under ten minutes, with exceptions queued for review and every run traceable to its input files and ruleset version.
Read case studyEvery order and payout, reconciled automatically
A multi-outlet food chain in the UAE takes orders through its own POS and several third-party delivery platforms, with no reliable way to confirm that POS records matched what the platforms reported and paid out. FireAI built a reconciliation engine that matches POS orders against platform data automatically across every store, flags missing orders and amount variances, and produces dispute-ready reports, with an AI agent answering questions about any store, platform, or period instantly.
Read case studyFour years of data, queryable in real time
A liquor retail chain with 100+ stores in India ran analytics directly against a transactional MS SQL database that struggled with years of history across every location. FireAI migrated four years of GB-scale data into ClickHouse, set up a dual sync (every five minutes for recent data, twice daily for the full financial year), and built ten analytics dashboards, a store open/close tracking dashboard, and SKU-velocity analytics across 97 individual stores.
Read case studyFactory, dealers, and the MD's desk in one view
A PVC and CPVC pipe manufacturer with ₹23.63 crore FY2025 revenue and a dealer network run by 10+ salesmen used FireAI to build a live analytics layer on its Tally data: SKU-level margin with landed cost, a dedicated dashboard per salesman with dealer-wise receivables aging, raw material price trend tracking, and a CFO view with a live cash conversion cycle.
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.