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A.I. and Change Management – How to help a company embrace A.I.

According to The Association of Change Management Professionals (ACMP), change management is defined as(1) the “practice of applying a structured approach to transition an organization from a current state to a future state to achieve expected benefits.” From our perspective, this means our clients (retailers, mainly in the grocery category) will take certain necessary measures to ensure their investments in A.I. are integrated and adopted in the best manner possible. A.I. is so impactful and important that once an organization embraces it, nothing less than wholesale changes are imminent with regards to how employees view the industry, the company, and long-term career paths as well their day-to-day job roles. In many cases the actual act of creating artificial intelligence programs to solve retailer’s problems isn’t actually that difficult. The major challenges derive from the fact that retailers, for decades, have had a certain view of their world. Along comes A.I. with a different and more holistic view that seriously challenges “known conventions.” The goal is to get the key people on board with adopting A.I. and keep them tee’d up and eager to embrace A.I. for the tangible benefits to organizations and their careers..   Be prepared for change — at all levels First and foremost is preparation. Since many (if not the majority) of tech investments are actually quite heavily based on the decision-makers’ previous experiences and personal memories, and A.I. is an entirely new category of solution for many, the senior executive leadership and directors must not only make sure they have an understanding of how A.I. solutions helps users – at all levels of the company... read more

How to spot if the A.I. is real

The objective of this blog post is to help business and technology leaders gain clarity around the value of A.I. by being able to better discern what is fake A.I. and weed the pretenders out. The fact is, there’s quite a bit of “fake A.I.” presently being offered. When we use the term fake A.I., what we’re describing is the way legacy data analytics technologies are repackaged and marketed by (too) many vendors as A.I.

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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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