CASE STUDY: Buffalo David Bitton
Buffalo David Bitton leverages visibility across multiple lines of business to improve performance
In partnership with IBM Retail, this leading fashion brand uses an integrated suite of analytics and planning tools to gain detailed insight into performance, helping it be more competitive in an already crowded market.
CASE STUDY: Coop Danmark
Coop Danmark boosts sales and profitability with effective, data-driven markdown decisions
The retailer implements IBM retail solutions, enabling it to identify variations in customer preferences down to store-level, adjust its markdowns accordingly and protect its profitability.
CASE STUDY: Elie Tahari
Predictive technologies match production with consumer demand
Elie Tahari created a seamless real-time reporting framework and introduced highly accurate predictive demand planning capabilities
"Analytics helps people think better, act smarter and work faster – which all adds up to a strong return on investment."
IT Director, Buffalo David Bitton
Determine the wants and needs of your customers and where to best reach them through omnichannel merchandising capabilities, powered by advanced analytics that provide a deeper understanding of buying propensity and drivers of demand.
How it works
By leveraging enterprise product information, tailored assortments, optimized price and promotions, social trends and customer insight, you can:
- Tighten core merchandising functions to ensure that the right products are stocked and the right messages are being given
- Determine the most desirable and profitable products, touch points, locations, events and promotions
How you benefit
By implementing a collection of omnichannel merchandising solutions, you can increase sales, improve gross margins, and improve inventory turnover.
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Industry Point of View
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The Consumer is the Channel: Infusing cognitive capabilities to engage and differentiate now and in the future