Convenience Assortment: insight cards, not dashboards.
location-level Assortment signals, caught before they compound.
Ward's Assortment engine for Convenience retail
Ward analyzes sell-through by store cluster to recommend which SKUs to add, drop, or reallocate.
Ward clusters stores by demographic, traffic, and sales patterns, then measures SKU performance against cluster benchmarks.
What changes for your team
- Store cluster segmentation
- SKU rationalization recommendations
- Whitespace opportunity detection
- Planogram optimization inputs
Why assortment matters
in convenience retail.
With 3,000 SKUs on a compact selling floor, every product must earn its place — and the right assortment is hyper-local. Ward clusters stores by traffic profile, daypart mix, and surrounding demographics to recommend variations that maximize revenue per square foot at each location.
Planogram localization, 500-store operator
A standardized planogram runs across all 500 locations. Ward identifies distinct store clusters — highway/travel, urban commuter, residential, university-adjacent — each overindexing on different categories. Ward recommends reallocating shelf space per cluster to match actual demand. Pilot stores show meaningful revenue uplift from better product-location matching with zero cost increase: same SKU count, just the right ones in the right stores.
What a Ward card looks like.
Cluster B stores (urban, high-traffic) underperforming on premium snacks vs Cluster A by 34%. Assortment gap: 12 SKUs missing.
Convenience assortment:
the shift.
- ×Daypart demand variation
- ×Planogram compliance
- ×Impulse category optimization
- ✓Store cluster segmentation
- ✓SKU rationalization recommendations
- ✓Whitespace opportunity detection
Convenience KPI impact.
Value compounds across multi-site operators. Chains with 100+ locations see the strongest returns. Fuel-dominant locations should expect impact concentrated on forecourt-to-store attach rate.
Questions about assortment.
Based on store count and data volume. POC engagements at a fixed fee.
First cards within 48 hours. Robust baselines in roughly 2 weeks.
TLS 1.3, AES-256 at rest. SOC 2 Type II in progress. On-prem available.
Convenience assortment
by data source.
More Convenience insight cards.
Insights surface
Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.
Insights become actions
Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.
Your team responds
Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.
Outcomes measured
Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.
Agents get sharper
Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.
Convenience retailers: see what Assortment problems Ward catches.
Root causes, not just alerts. See it on your data.
Find out what your data has been hiding.
Tell us about your operation. We’ll show you the problems Ward catches — and the ones your current tools miss.