Increase Profits with Predictive Analytics:

Blue Yonder in the Retail Industry

Blue Yonder puts you right on course for achieving optimal materials planning and for addressing your customers systematically

Good news in times of slender margins: Using predictive analytics can help retail companies increase their profit margins by up to 60 percent, according to McKinsey. The earlier they identify Big Data as a potential gold mine within their own company, the more they stand to profit. And in working with Blue Yonder, Otto, Heine, and dm are showing other firms exactly what can be achieved. Using and evaluating your own data systematically will help you improve both your article selection and your forecasts for product demand within your company, both online and in-store. The side-effects of doing this are substantial: Your logistics costs are reduced, the level of stock you procure is extremely close to your actual demand, your prices are optimized and your staffing strategy is incredibly accurate.

 

The Way to Achieve Optimal Materials Planning
Forecasting Models	Integrated Stock and Product Forecasts	Automated Replenishment Integrated into ERP Software
Forecasts at product level Based on historical inventory data System forecasts probabilities Buyer makes decision in the ERP system Management uses forecasts to perform simulations	Forecast is now in place Software generates purchase order proposals Buyer assesses proposals before triggering an automated order	Automated procurement process fully integrated within the ERP system On the way to creating a "perfect order" that takes all costs and profit factors into consideration