Enterprise Intelligence Group
AI Consulting for Grocery Retailers
Forward-deployed AI consulting for grocery: we work inside your category reviews, planning cycles and stores, capture the knowledge behind your decisions, then build AI your merchants trust.
Forward-Deployed AI Consulting · Grocery
Enterprise Intelligence Group provides forward-deployed AI consulting for grocery retailers: we work inside your category reviews, planning cycles and stores, capture the knowledge behind your commercial decisions, and then build practical AI on your existing systems.
No rip-and-replace, no science projects. Assistants your merchants, planners and store teams actually use.
What does AI consulting look like in grocery?
Not a platform pitch. In grocery, the value is buried in judgment-heavy, high-frequency decisions: ranging and delists across thousands of SKUs, promotional funding and forecasting, markdown timing on fresh, supplier negotiations, store-level exceptions. We start where those decisions happen: attending live category reviews, shadowing buyers, sitting with demand planners. Then we map how they're actually made before recommending any technology.
Where AI earns its keep first in grocery
Category review preparation: the assistant assembles the performance story, decision history and supplier context your category managers compile by hand today.
Buyer and supplier intelligence: negotiation history, terms and commitments retrievable in seconds, with sources cited.
Planning support: forecast context, override history and planning assumptions out of spreadsheets and into governed, searchable form.
Store operations: SOP and policy answers for managers and associates, onboarding assistants for high-turnover roles.
Every use case follows one rule: Intelligence Before Automation™. We capture and govern the knowledge first, so the AI answers with your business’s real logic.
New to the idea? What is Retail Intelligence? · What is forward-deployed consulting?
Where grocery decisions become AI opportunities
What we actually do inside a grocery business: observe a live category review · examine fresh-item markdown decisions · map promotional funding approval · review forecast overrides with demand planners · capture local assortment exceptions.
FROM THE RETAIL OPERATING FLOOR
During a category review, the reports presented are not necessarily the reports that drive the decision. One objective of buyer shadowing is to identify the information merchants actually trust, including personal spreadsheets, supplier history and unwritten exceptions. We examine the official process and the actual process; the information produced and the information genuinely used; the exceptions; the decision ownership; and where the result is recorded.
Start with the grocery decision, not the technology
Your immediate challenge may be a range change, replenishment exceptions, a promotion decision or a plan that does not fit the store. EIG can help examine the requirements, evidence and delivery work without assuming you need a new platform or an AI programme.
- Review merchandising and assortment
- Improve forecasting and replenishment
- Evaluate pricing and promotion decisions
- Connect assortment with space planning
Bring one defined operating challenge. We will discuss the scope, evidence and responsibilities needed to assess it.
How an engagement starts
The Retail Intelligence Discovery Workshop embeds with one commercial area for a few weeks and delivers decision maps, a knowledge-risk register, and a prioritized AI opportunity roadmap. These are assets you keep whether or not you build with us. A practical starting point is the free five-minute AI Maturity Assessment, followed by a focused Workshop in one priority area.
Take the free AI Maturity Assessment
Frequently asked questions
What makes grocery different for AI?
Scale and speed: thousands of SKUs, weekly promotional cycles, fresh shrink, and decisions distributed across buyers, planners and stores. Generic AI tooling fails on grocery's exception density, which is exactly why capturing the exceptions and judgment first matters more here than anywhere.
Do we need to fix our data first?
Not all of it. You need trusted-enough data for the specific decisions being supported, plus the knowledge layer around them, which usually isn't in the data at all. We sequence both instead of waiting for a perfect warehouse.
Which systems do you work with?
Yours. We're vendor-agnostic and build on your existing ERP, planning tools and Microsoft estate; where new tooling is justified, we help you evaluate it without commission bias.
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