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A.I. vs Predictive Analytics

In this day and age, of radical disruption and revolutionary changes in retail, predictive analytics models are not really up to the task of looking at a retailers’ data holistically and supporting profitable decision making.

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Cutting Through the Artificial Intelligence hype

Over the past couple of years there’s certainly been no shortage of marketing content, articles, research reports, conference presentations and white papers that purport to tell everyone what A.I. powers… i.e., retail, insurance, medicine, finance, everything… but who is helping us cut through the hype and telling is what A.I. actually is and what it isn’t?    

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How AI Optimizes Demand Forecasting for Grocers

Grocers who rely on the discipline “Demand Forecasting” to live up to its moniker, i.e., accurately predict future demand for specific products, have, unfortunately needed to maintain a healthy tolerance for inaccuracy. In fact, grocery retailers today are challenged to properly manage and allocate inventory with forecasts having errors ranging from 40% – 60% plus.

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How AI powers Pricing Optimization to Drive Maximum Profitability for Grocers

While it’s true that powerful technology and “traditional” data analytics software enable grocery retailers to battle it out with competitors on a weekly, daily and even hourly basis, the big question is, does beating competitors on price always lead to higher profits? In other words, how closely is your organization’s pricing strategy aligned to long-term financial goals?

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AI-Driven Analytics: Taming The Wild World of Grocery Data

A crowded marketplace with fierce competition, including brick-and-mortar specialty food retailers, expansion of grocery sections in big box stores, e-Commerce into the grocery space, ever-changing Amazon dynamics, Grocers understand that in order to keep-up, they need to leverage their hard-earned data and glean the best insights from consumer-behavior and shopping-preferences

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