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Consumer Goods

Enhance efficiency through innovation

The Fast-Moving Consumer Goods (FMCG) sector is at a critical juncture, facing unprecedented challenges ranging from fluctuating demand patterns to stringent regulatory pressures and the urgent need for sustainable practices. This dynamic landscape is further complicated by evolving consumer habits, necessitating agile responses and innovative solutions from businesses seeking to maintain a competitive edge. 

HOW DATA SCIENCE AND AI CAN HELP

Shaping the future of FMCG

AI, data science, advanced mathematical techniques, forecasting, simulations, and mathematical optimisation are not just buzzwords; they are essential tools catalysing the transformation of the FMCG sector.

By leveraging these technologies, Smith Institute empowers businesses to predict market trends more accurately, simulate various operational scenarios, and optimise processes — from supply chain logistics to inventory management. These capabilities are instrumental in maximising efficiency, reducing waste, and ensuring that FMCG companies are not merely reacting to changes, but are staying ahead of them. 

Read our case studies
Demand Forecasting
Supply Chain Optimisation
Sustainability
Consumer Insights
Compliance and Risk
Product Development
PROVIDING CLARITY IN CONSUMER APPETITES

Predictive Demand Forecasting

  • Accurate predictions: Implementing machine learning models to predict consumer demand with greater accuracy. 
  • Data-led decisions: Utilising historical data and trend analysis for more effective stock management. 
  • Dynamic responses: Enhancing responsiveness to market changes through dynamic forecasting techniques. 
IDENTIFYING AND ADDRESSING WEAK LINKS IN YOUR CHAIN

Supply Chain Optimisation

  • Optimised logistics: Utilising mathematical optimisation to streamline logistics and reduce costs. 
  • Identifying blockers: Simulating various supply chain scenarios to anticipate disruptions. 
  • Enhanced tracking: Implementing AI-driven tools for real-time tracking and management of inventory. 
SUPPORTING GREENER OPERATIONS

Sustainability Through Data Science

  • Eco-friendly operations: Leveraging analytics to minimise waste and improve energy efficiency. 
  • Greener production: Developing strategies for sustainable sourcing and production methods. 
  • Understanding the effect: Enhancing product lifecycle management through detailed environmental impact analysis. 
DELIVERING CLARITY ABOUT YOUR CUSTOMERS

Consumer Insights

  • Enhanced data analysis: Employing AI to analyse consumer data and derive meaningful insights. 
  • Bespoke marketing: Tailoring marketing strategies to individual consumer preferences. 
  • Increased engagement: Enhancing customer engagement through targeted product development. 
UNDERSTANDING CHANGES AND ADAPTING EFFECTIVELY

Regulatory Compliance and Risk Management

  • Regulatory compliance: Applying advanced analytics to ensure adherence to evolving regulations. 
  • Scenario planning: Modelling financial scenarios to mitigate risks and optimise performance. 
  • Understanding the impact: Forecasting regulatory impacts on supply chain and product formulation. 
PROVIDING CONFIDENCE FOR NEW LAUNCHES

Innovation in Product Development

  • Efficient product development: Utilising simulations to test new product concepts and packaging designs. 
  • Supporting development: Accelerating R&D processes through data-driven insights. 
  • Complex consumer demand: Optimising product mixes to meet diverse consumer demands. 
Discover how we used machine learning to help Coca Cola Europacific Partners build a strategic understanding of how the weather impacts product demand
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SECTORS

Trusted from AI to net zero

Domain-specific understanding plus mathematical depth equals cross-sector insight. We work with clients across multiple industries to deliver potent, timely results again and again.
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