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Appriss Retail provides artificial intelligence-based solutions to help retailers protect margin, unlock sales, and cut shrink. With more than 20 years of retail data science expertise, the company's Software-as-a-Service (SaaS) platform generates advanced analytical insights and real-time decisions that drive action throughout the organization.

The company provides useful business intelligence to operations, finance, marketing, and loss prevention. Appriss Retail's performance-improvement solutions yield measurable results with significant return on investment among retail store, ecommerce, and inventory functions.

The company serves a global base of leading specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in more than 150,000 locations (brick and mortar and online) in 45 countries across six continents.

Predict and Shape Shopper Behavior
Appriss Retail optimizes retailers' revenue and margin by shaping behavior in every consumer transaction in-store, through ecommerce, or BOPIS/BORIS situations. The company's solutions use predictive analytics to make each shopper's purchase or return more profitable.

This yields immediate financial payback, increasing store comps by as much as 2 percent, with significant return on investment. The company's solutions create sizable new sales at the return counter, while also building customer loyalty, and prevent fraudulent and abusive returns, reducing return rates, and improving shrink.

Optimizing Revenue in all Consumer Transactions
Appriss Retail draws from the expertise of PhD statisticians and a wealth of retail transaction history to develop its optimization solutions.

A pioneer in the use of statistical models to reduce return fraud and shrink, the company uses sophisticated predictive analytics to identify incentives most likely to keep consumers shopping after making a purchase or legitimate return.

Viewing information in real-time, and predicting behavior at an individual level, permits all retail transactions to be optimized to meet revenue, margin, or product sell-though objectives.