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From data chaos to competitive edge: How Deloitte transformed an FMCG giant’s analytics

The problem

A leading FMCG company, operating nationwide with a strong focus on digital transformation, relied heavily on its data analytics platform to power reporting, monitoring and AI/ML-driven decision-making. But the platform was failing.

  • Design limitations and high infrastructure costs made it fragile.
  • Low adoption, governance gaps and inconsistent performance caused frequent breakdowns.
  • Poor data quality made it nearly impossible to scale or operationalise AI/ML models with confidence.
  • Critical functions, such as sales, supply chain, finance and marketing, were hampered. Performance tracking, demand forecasting and strategic planning slowed, directly impacting revenue and growth. The platform needed urgent stabilisation and transformation.

The solution: The Deloitte way

We took a structured, phased approach to first stabilise and then scale the platform with AI-powered interventions.

Phase 1: Stabilising the core

  • Fixed broken pipelines and addressed data quality challenges
  • Implemented governance mechanisms to manage demand
  • Rebuilt cockpit logic and aligned KPIs with business expectations
  • Optimised code and automated manual processes, restoring reliability and efficiency

Phase 2: AI and Generative AI transformation

  • Rolled out targeted cockpit enhancements and AI/ML-led interventions.
  • Applied advanced analytics to retailer targeting, SKU optimisation and geo-spatial market expansion.
  • Introduced Agentic AI, a natural language interface to query KPIs and surface insights in seconds.

The impact

The transformation turned a fragile platform into a robust growth engine:

  • Cost savings and risk mitigation: Saved around INR 2 crore by reducing obsolescence costs and preventing lost sales
  • Efficiency boost: Automated KPI reporting saved 42,000+ manual hours, fuelling nutrition business growth
  • Revenue growth: Achieved a 2–5% increase in revenue targets through smarter retailer selection and accurate sales allocation
    Retailer adherence: Improved must-sell SKU adherence from 45% to 51%, cutting manual effort by 51%
  • Market impact: Enhanced premium product launch success with geo-spatial retailer selection
  • Next-gen insights: Agentic AI empowered 30+ business users to extract insights instantly, which once took days, now takes seconds

From firefighting breakdowns to fuelling growth, Deloitte stabilised, scaled and future-proofed the client’s analytics ecosystem, unlocking resilience, speed and measurable business impact.

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