Elie Tahari used a suite of business analytics software from IBM to create a seamless real-time reporting framework and introduce highly accurate, predictive demand planning capabilities.
Real-time insights on sell-through rates and predictive management of production planning and inventory enabled Elie Tahari to optimize store-level merchandising decisions, ensuring that the most popular stock-keeping units (SKUs) are available in the right place, at the right time.
“From the predictive analytics point of view, there were various ‘canned solutions’ on the market that might have helped us with this specific project,” said Aytaman. “But we were keen to invest in a platform that would give us the flexibility to meet other needs in the future. SPSS Modeler, combined with IBM’s pre-built solution blueprints, gave us the freedom and rapid development capabilities we were looking for.”
- IBM® Cognos® Business Intelligence
- IBM Cognos TM1®
- IBM SPSS® Modeler
- IBM DB2® for i
- IBM InfoSphere® DataStage®
- IBM WebSphere® MQ
- IBM Global Business Services®
IBM Business Partner
- Adaptive Solutions
- ITS, Inc. (NY)
“ What jumped out from the Cognos reports were the differences in the distribution of sizes we sold by region and by store. By seeing a pattern we couldn’t see before, we were able to modify the size spread for each of our stores. ”
Divisional Manager, Elie Tahari