Enterprise Intelligence Group
What We Actually Do In Your Business
Inside category reviews, buyer desks, planning cycles, stores and DCs from week one: the activities we run in your business and the working assets each one delivers.
Our Activities. Your Outcomes.
Your first 30 days with EIG: this page describes exactly what we do inside your business, in your meetings, from week one.
Merchandising & Category Management
Category Review Optimization
We attend live category review meetings and analyze how decisions are made. We observe how new products are evaluated, why products are delisted, how supplier recommendations are challenged, which KPIs actually influence decisions, where meetings lose time, and which decisions repeatedly require follow-up.
- Category Decision Map
- Meeting AI Summary Assistant
- Category Knowledge Base
- Category Review Playbook
- AI recommendations for meeting preparation
Buyer Shadowing
Every experienced buyer works differently. We spend time alongside your buyers to understand negotiation preparation, supplier meeting routines, promotion planning, range review methodology, vendor scorecards, commercial judgment and exception handling.
- Buyer Knowledge Library
- Buyer AI Assistant
- Knowledge Capture Interviews
Supplier Collaboration Review
We review how buyers work with suppliers. Typical questions: Where is supplier knowledge stored? How are negotiations documented? What information is duplicated? Which supplier insights disappear after meetings? Could AI automatically prepare supplier reviews?
- Supplier Intelligence Repository
- Supplier Meeting Assistant
- Commercial Relationship Dashboard
Merchandise Planning
Planning Process Observation
We sit with planning teams during actual planning cycles. We identify manual spreadsheet activity, forecast overrides, business rules, exception management, approval bottlenecks, duplicate reporting and planning pain points.
- Planning Decision Maps
- Planning AI Assistant
- Planning Knowledge Library
Forecast Override Analysis
Every retailer overrides system forecasts. We identify who overrides, why they override, which overrides improve accuracy, and which overrides should become business rules.
- Forecast Intelligence Register
- AI-supported Forecast Assistant
Promotion Lifecycle Review
We map every step, from campaign planning and supplier funding through forecasting, execution and store readiness, to performance review and lessons learned. We identify every manual activity that could be supported by AI.
- Promotion Operating Model
- Promotion Knowledge Library
- Promotion Planning Assistant
Pricing Decision Review
We analyze markdown approval, competitor price checks, clearance activity, promotional pricing, local exceptions and price governance.
- Pricing Decision Framework
- Pricing AI Assistant
Store Operations Assessment
We spend time inside stores with managers and associates. We identify repetitive administrative work, SOP challenges, training gaps, store communication issues, operational bottlenecks and knowledge inconsistencies.
- Store Operations Knowledge Base
- Store Manager Assistant
- New Associate Assistant
District Manager Ride-Alongs
We accompany district or regional leaders to understand how stores are evaluated. We capture compliance decisions, coaching conversations, operational priorities, reporting requirements and exception handling.
- Field Leadership Playbook
- District Manager AI Assistant
Supply Chain & Distribution
Distribution Center Assessment
We observe warehouse operations: receiving, put-away, picking, replenishment, inventory adjustments and exception management.
- Distribution Knowledge Base
- Warehouse Assistant
Replenishment Review
We work with replenishment planners to understand allocation decisions, supplier shortages, inventory balancing, emergency replenishment and manual intervention.
- Replenishment Decision Library
- Inventory Intelligence Register
Retail Technology & Data
SharePoint Knowledge Review
Most retailers already own the information they need. They simply can't find it. We review SharePoint, Teams, Confluence, Excel, PDFs, SOP libraries, OneDrive and legacy documentation.
- Enterprise Knowledge Architecture
- AI-ready document library
- Governance recommendations
AI Opportunity Discovery
This isn't an ideation workshop. It's a practical review of where AI can eliminate repetitive work: meeting preparation, document search, policy questions, supplier summaries, category reviews, executive briefings, weekly reporting, store support, promotion planning, forecast explanations, onboarding, knowledge search. Each opportunity is assessed for business value, technical complexity, time to deliver, adoption likelihood and data readiness.
- Prioritized AI Opportunity Portfolio
- 90-Day Delivery Roadmap
Retail AI Solution Design
Rather than only identifying opportunities, we define exactly what should be built before any technology work begins: user personas (Buyer, Planner, Category Manager, Store Manager, Executive), user journeys and pain points, assistant capabilities, required knowledge sources, governance and ownership, success measures and adoption plan.
Executive Advisory
Working directly with retail leadership
We support AI strategy, vendor evaluation, governance, investment prioritization, executive education, transformation planning, program assurance and change management.
Our Services
Where we start: eight ways to put Retail Intelligence to work
Category Management AI Consulting
Category decisions on range, space, promotion and price turn on judgment that lives in a few experienced heads and scattered sprea…
Buyer Knowledge Capture
Your best buyers carry supplier history, negotiation logic and ranging philosophy that no system records. When they move on, it wa…
Merchandise Planning AI
Planners spend the week assembling sell-through, stock, forecast and allocation data instead of shaping the plan, and the judgment…
Promotion Planning AI
Promotion decisions rely on what worked before, why, and for whom. That knowledge is spread across people, decks and systems. Post…
Store Operations AI
The know-how that keeps stores running well, from scheduling and replenishment to compliance and follow-up, lives with experienced…
Retail Knowledge Management
The knowledge that runs a retail business is scattered, undocumented and owner-less, which is exactly why AI projects stall: there…
Retail AI Opportunity Assessment
Leaders know AI matters but not where it fits, what's ready, or what to do first, and the wrong first project burns credibility an…
A good AI idea stalls without a design that's scoped, governed and buildable on the systems you already run, with clear guardrails…
Why Clients Engage EIG
Retail leaders do not need another generic AI implementation. They need practical help solving the operational problems preventing AI from delivering value:
- Buyers spending hours preparing for supplier meetings.
- Category managers unable to find previous decisions.
- Planners maintaining dozens of manual spreadsheets.
- Store managers searching through multiple SOPs.
- Executives receiving conflicting reports.
- Knowledge leaving with experienced employees.
- AI initiatives stalling because no one trusts the underlying information.
We solve these operational challenges first. AI then becomes a natural extension of a better-run retail business.
The starting engagement is agreed around your business question. We define the scope, outputs, responsibilities and delivery arrangements before work begins. AI-focused work is one option within EIG's broader consulting services.
See how this plays out in your sector: grocery, CPG, distribution, convenience, and specialty retail.
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