Improving Demand Planning for Distributors & Wholesalers.

Find out how distributors & wholesalers have been able to overcome disruptions and increase forecasting accuracy & service levels while decreasing inventories & stockouts.

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Multi-channel Complexity

Distributors & wholesalers are selling an enormous portfolio of products through different channels: online retailers, offline stores, and directly to consumers in some cases. Demand patterns across these channels are very different, so it's crucial to understand these differences.   


Traditional technology limits your capability to properly tackle these challenges, with complex Excel sheets, siloed information, and constant firefighting as a result. Poor forecast accuracy results in systematic overstocks creating scrap waste and high maintenance/storage costs, or empty shelves, which is particularly painful and costly for organizations selling fast-moving and perishable goods.


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Benefits of AI in Demand Planning


Time to put the market central in your planning processes and align around the volatility of your customers. By combining human knowledge with AI, Garvis empowers planners to make fast and accurate decisions based on data, real-time insights, and risk profiles.  


  • Forecast error drops by 30 to 40% with 60% less effort 
  • 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 distributors & wholesalers

  • Powerful, user-controlled AI to help planners understand the components of demand, not just the total demand  
  • Direct linkage to inventory planning and re-order planning 
  • Events library and user-machine (AI) collaborations allow faster and more accurate responses to disruptions
  • Demand Sensing to improve forecasting accuracy
  • Effective ramp-up of new products

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Put yourself in control of data.

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