Manufacturing

Indian manufacturing spans precision auto components, textiles, FMCG packaging, pharmaceuticals, and metals — yet the operational challenge is universal: production, quality, maintenance, and finance data live in different systems. ERP logs what was produced; maintenance tracks work orders in another module; quality holds spreadsheets; costing sits in Tally. Plant managers still wait for end-of-shift Excel to answer basic questions: Which line lost the most hours to downtime? Why did first-pass yield drop last week?

Industry benchmarks are well understood: Overall Equipment Effectiveness (OEE) world-class plants target ~85%; many Indian plants run closer to 55–70% OEE, meaning a large share of theoretical capacity is lost to downtime, speed losses, and quality rejects — often before anyone sees it in a monthly rollup. FireAI connects to the systems you already use — SAP, Oracle, Tally, production logs, and where available IoT or PLC feeds — and builds a single analytics layer where metrics are queryable in plain English, visualized on dashboards, and alertable when thresholds break.

With FireAI, a plant head can ask “What was OEE on Line 3 last week?” or “Which machines had the most unplanned downtime in March?” and get answers tied to machine, shift, and product — not aggregates buried in a pivot table. Finance and operations leaders get cost variance, throughput vs target, and scrap and rework visibility on the same timeline as production events, so improvement projects are prioritized by impact.

Across 10 domains and 40 use cases. Each area is designed for natural-language questions, dashboards, and proactive alerts — so teams spend less time reconciling files and more time improving output, quality, and margin.