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Deepak Suhag
Expert Industries Service
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What you get: AI Solutions for FMCG

AI-powered demand sensing and trade promotion optimisation for consumer brands

We help FMCG manufacturers and distributors apply AI to demand forecasting, trade promotion effectiveness, and retail execution — built for high-SKU, high-velocity portfolios.

10+Years building AI
50+Projects delivered
98%Client satisfaction
72hAvg. first response
Free Consultation

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Tell us about your project. We respond within 24 hours.

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50+ founders consulted last month

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🔒 No spam ever⚡ 24h response🤝 NDA on request
Why work with us

What you get

Every engagement is designed around clear business outcomes — not just technical deliverables.

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Demand Sensing

Combine POS, weather and market signals for SKU-level forecasts that beat traditional statistical models.

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Trade Promotion Optimisation

AI models that predict promotion ROI and recommend spend allocation across retailers.

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Distribution & Route AI

Optimise secondary sales routes and van-load planning to cut distribution cost.

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Retail Execution Analytics

Computer vision for shelf-share and planogram compliance from field photos.

Why Deepak Suhag

Built Different. Delivered Different.

We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.

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10+ Years of Production AI

We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.

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Results-Driven, Not Hours-Driven

We measure success by your business outcomes: reduced costs, more revenue, faster operations.

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Deep Technical Depth

Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.

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Radical Transparency

We tell you when AI is not the right answer. Our goal is your success — not our revenue.

Ready to start?

Let's build something
extraordinary together.

Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.

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