Analytics

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Analytics in retail

In retail, understanding every facet of the customer is the key to success.

Most consumers conduct research online and seek the opinions of others before they ever purchase a product from a store. If one store doesn’t have the product they want in stock, they’ll get it from a competitor. Retailers lose USD93 billion in missed sales every year, simply because they don’t have the right products in stock to meet customer demand. With IBM Analytics, retailers can gain deeper insight into their customers and their operations.

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Image: Office Max

Office Max reclaimed market share from its competitors and increased business-to-business revenue by providing business customers with greater efficiency and convenience.

Image: Zozotown

Zozotown increased conversion rates and revenue, dramatically reduced time to market, and improved customer retention through more personalized and relevant promotional messages.

Image: Elie Tahari

Elie Tahari used real-time insights on sell-through rates and inventory to optimize store-level merchandising decisions and get the most popular fashions in the right place at the right time.

Image: Market6

Market6 implemented a big data solution that brings together operational analytics and social media data to speed the distribution of vital information to retailers and manufacturers.

Image: Dillard's Department Stores

Dillard's Department Stores implemented a big data and business intelligence solution to organize and process huge volumes of logistical and customer data, and enable better business decisions.

Image: Cheesecake Factory

Cheesecake Factory uses a big data solution to help ensure all ingredients meet its high standards for quality and consistency to deliver an exceptional dining experience for its guests.