FMCG vs Defence: AI Automation ROI Compared
Two very different industries, both investing heavily in AI. The use cases, timelines, and return profiles are strikingly different — here's how they compare.
🛒 FMCG Industry AI
Primary drivers: Revenue growth + cost efficiency at scale
- Demand forecasting: +25-40% accuracy → lower stockouts + less overstock
- Trade promotion AI: 15-25% improvement in promo ROI
- Supply chain optimization: 8-15% logistics cost reduction
- Consumer intelligence: faster response to market shifts
- Manufacturing OEE: 5-10 pp improvement
Payback timeline: 6-18 months (fast cycle, high volume)
ROI profile: Broad, distributed across many processes
🛡️ Defence Manufacturing AI
Primary drivers: Quality compliance + contract performance
- QMS automation: 60-70% reduction in audit prep time
- Precision inspection: Near-zero quality escapes
- Supply chain traceability: Full material genealogy
- On-time delivery: AI scheduling improves OTD to 95%+
- Export compliance: Zero compliance violations
Payback timeline: 18-36 months (longer programs, but larger contract values)
ROI profile: Concentrated — primarily in contract retention and new business qualification
The Verdict: Both Win, Differently
FMCG companies typically see faster, more distributed AI returns — many smaller improvements that add up across a high-volume business. Defence manufacturers see slower but potentially transformative returns — AI-enabled quality and compliance capabilities that unlock larger contracts and government qualification that wouldn't be accessible otherwise.
MNB Research serves both sectors across Punjab, Haryana, and national markets — with AI solutions calibrated to the specific ROI drivers of each industry.
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