blog.garvis.ai Open in urlscan Pro
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Effective URL: https://blog.garvis.ai/events/ai-demand-sensing-to-improve-the-demand-plan-a-user-story-from-megafood?utm_campaign=Webi...
Submission: On June 28 via api from GB — Scanned from GB

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WEBINAR: AI & DEMAND SENSING TO IMPROVE THE DEMAND PLAN: A USER STORY FROM
MEGAFOOD

By Garvis - Jun 7, 2023 12:31:41 PM

MegaFood produces & sells whole food supplements and vitamins.  

A couple of factors that make it complex for Megafood to generate good demand forecasts:  

 

 * Evolving consumer preferences: The food & supplements industry is constantly
   evolving, with new trends and preferences emerging all the time. MegaFood
   must stay up-to-date with these trends to ensure that its products remain
   relevant and in demand. Therefore, knowing early on which new products work
   and which ones don’t is crucial to succeed. 

 * Inflationary pressure: The premium segment is decreasing because people are
   picking lower-priced alternatives. It becomes even more important for
   MegaFood to keep costs down so they can price their products competitively.
   Having an efficient supply chain and optimal stock levels are an important
   part of this, and are heavily driven by the accuracy of the demand plan.  
 * Reacting fast: MegaFood can’t shape the demand as much as other CPG companies
   can. It is really important for MegaFood to understand how the order
   quantities are changing from week to week and what is happening at the
   customer. Demand Sensing on order data and using POS data to create
   incredibly accurate short-term forecasts has been very helpful to MegaFood. 

 

In this webinar, Mike Mather, Demand Planner at Megafood, will share why they
decided to use AI in their demand planning process, and how he is supported by
AI to understand the drivers of demand.  

                                                                               
   
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What you'll learn:


 

 * Why it was a priority to transform the demand planning process 
 * How Megafood forecasted in the past  
 * Their experience with the implementation of AI 
 * Enhancing the forecast with the planner’s knowledge 
 * Forecast accuracy improvement at Megafood
 * Demand detection: indexes as an input into the demand plan
 * (Demand Sensing)
 * How Garvis can be implemented and applied in less than a day at manufacturing
   companies
   
   Whom are you going to listen to:



 

 

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