For decades retailers have been managing their merchandise assortment, planning, and allocations based on prior sales numbers, emerging trends, store profiling, and overall demand. With continued access to richer data, retailers have never been more informed about their business. But more data doesn’t necessarily mean it’s the right data. What if retailers could more accurately pinpoint by location not only what sold, but also what is most likely to sell in the future using variables including predictive triggers? And all that before the …
Reverse Engineering Is the Future of Retail PlanningRead More