« It is not because things are difficult that we do not dare, it is because we do not dare that they are difficult. »
« Ce n'est pas parce que les choses sont difficiles que nous n'osons pas, c'est parce que nous n'osons pas qu'elles sont difficiles. »
The most common way to work on forecasts is based on historical selling patterns with the possibility to include variables such as price markdowns or special discounted events.
Using sales history as a basis can lead to huge discrepancies. Sales do not take into consideration all the cases. For example, potential customers’ demand is higher than real sales because of inventory shortage. Only using sales history values will generate gap between demand and offer.
This is why the decision and optimization making tool has to be based on demands history and not on sales history. The differences between the 2 are mostly due to break inventories; the hardest thing is to evaluate those losses and integrate them in sales statistics.
SCOR-TEX, with its very innovative and proven concept of Potential Sales - actual sales and lost sales - will face more intelligently those challenges and will easily adapt as an ‘add-on’ to any of your system to improve drastically the decision making process and management and give accurate forecasts.
SCOR-TEX is a Retail statistical management approach for supply chain operations with real-time consumer demand. This Retail best practice method is designed by experts in artificial intelligence with over 20 years of retail experience.
Not only a software decision support
Discover the economic potential of your products and increase drastically your sales and profit.
Using potential sales and smart allocation, you can sell more with your existing inventory at full price or closer to full price.