Strategic Visibility Across Your Fleet
Gain a unified view of store performance and merchandising ROI to drive investment prioritization and fleet-wide growth.
Your Challenges
You own execution outcomes, but rely on filtered reports from analysts and category teams. By the time problems reach you, they've cost weeks of revenue.
Stale Reporting
Monthly compliance reports show problems from 3 weeks ago. By the time you see them, poor execution has already damaged sales.
No Cross-Category Visibility
Each category manager has their own data. You want fleet-wide compliance trends, but assembling the big picture means chasing 10 different people.
Can't Prioritize Investments
Which categories need more planogram attention? Which regions underperform? Without systematic data, resource allocation feels like guesswork.
Supplier Disputes Escalate
Suppliers claim you're not honoring agreements. Your team says they are. Who's right? You need neutral data to resolve conflicts.
How ShelfMind Helps
Live dashboards. Cross-category trends. Early problem detection. Make decisions based on what's happening now, not weeks ago.
Executive 3D Command Center
Inspect any store segment in the fleet with perfect 3D fidelity. Visualize execution quality and revenue heatmaps without leaving your desk.
Revenue Leakage Intelligence
Every execution gap is assigned a dollar value. See exactly where revenue is being lost across the fleet and prioritize investments accordingly.
Hyper-Local Performance
Overlay demographics and income data to understand regional performance. Identify why certain store formats over-perform in specific neighborhoods.
Predictive Sales Forecasting
Use AI to forecast the revenue impact of assortment changes. Validate category strategies with predictive "What-If" modeling.
AI-Driven Adjacency Audit
Automatically validate complex merchandising logic across thousands of stores. Ensure strategic cross-merchandising is physically executed.
Fleet-Wide Trend Analysis
Track compliance and revenue lift over time. Measure the ROI of training programs and operational resets with hard data.
Real Leadership Workflow
How Jennifer, VP of Merchandising, uses ShelfMind to spot execution problems early and hold teams accountable.
Monday Morning Dashboard Review
Jennifer logs into ShelfMind and sees fleet-wide compliance: 84% average, down from 89% last month. Red flag.
Drill Down to Regional Issue
Filters by region. Southeast is at 72%—significantly below other regions. Jennifer calls regional ops director same day.
Identify Chronic Problem Stores
Ops director uses ShelfMind to export Southeast store list sorted by compliance score. Bottom 12 stores all opened in last 18 months—new stores need better training.
Approve Training Investment
Jennifer approves targeted training program for new Southeast stores. Investment justified by compliance data showing clear gap.
Track Improvement Monthly
6 weeks later: Southeast compliance up to 87%. Jennifer shares trend chart with executive team, proving ROI on training spend. Problem solved before it reached crisis level.
Ready for live visibility across your entire fleet?
Join retail leaders using ShelfMind to spot problems early, validate agreements, and make data-driven merchandising decisions.