Improving Demand Planning in Consumer Goods.

Find out how several CPG companies have been able to increase forecasting accuracy & service levels, while decreasing inventories & stockouts.

LP Consumer Goods V2
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Changing preferences

Economic uncertainty, global disruptions, and the pandemic have resulted in major shifts in consumer preferences while supply chains have been more challenged than ever.  Delivering goods at the lowest cost has led to carefully matching capacity to demand and streamlining operations. This focus on cost reduction has hurt supply chain resiliency and created considerable service issues in the current environment. 


Traditional technology limits your capability to properly tackle this increasing complexity, with ineffective Excel sheets, siloed information, and constant firefighting as a result. Poor forecast accuracy results in excess inventory and even worse,  dissatisfied customers. 


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Benefits of AI in Demand Planning


It is time to put the market at the center of your planning processes and pro-actively manage the volatility of your demand. By combining human knowledge with AI, Garvis empowers planners to make fast and accurate decisions based on data, real-time insights, and risk profiles.  Typical benefits include: 

  • Forecast error drops by 30 to 40% 
  • Better decision-making: more stable production schedules and better alignment with retail network 
  • More accurate launch and planning of new products 
  • 4-5 days reduction in safety stock 
  • No implementation costs, immediate value (implement in one day, have results in a week, go live in a month)
  • Higher job satisfaction, less firefighting and more time for productive work 

Key features for consumer goods

  • Powerful, user-controlled AI to help planners understand the components of demand, not just the total demand 
  • Detailed promotion management  
  • Extensive portfolio management with phase-in, phase-out, and AI-proposed demand ramp-up plans
  • Demand Sensing to improve forecasting in the short term 

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Put yourself in control of data.

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