Ward watches Demand across every location.
Your Convenience data holds the answers. Ward finds them.
The Demand capability built for Convenience & C-Store
Ward combines historical patterns, weather data, local events, and economic signals to forecast demand at the store-SKU-day level.
Ward builds store-level demand models incorporating seasonality, weather forecasts, promotional calendars, local events, and macroeconomic indicators.
What changes for your team
- Store-SKU-day level precision
- Weather-driven adjustment
- Event and holiday modeling
- Automatic reorder point recalculation
Why demand matters
in convenience retail.
C-store demand is the most volatile in retail — weather, construction detours, school schedules, and local events can swing traffic dramatically in the same store. Ward builds location-specific models incorporating real-time traffic data, weather forecasts, and event calendars to help operators order precisely for each delivery window.
Construction detour impact, fuel site cluster
A highway on-ramp closure reroutes commuters past some of your stores and away from others. Within 48 hours, Ward detects the shift: stores on the new route are depleting morning coffee and breakfast by mid-morning while stores that lost traffic are over-ordering and generating waste. Ward issues demand adjustment cards for all affected locations with revised quantities for the construction period.
What a Ward card looks like.
72-hour heat wave predicted for Dhaka region. Historical model suggests +18% on beverages, +12% on ice cream. Pre-position recommended.
Convenience demand:
the shift.
- ×Daypart demand variation
- ×Planogram compliance
- ×Impulse category optimization
- ✓Store-SKU-day level precision
- ✓Weather-driven adjustment
- ✓Event and holiday modeling
Questions about demand.
Based on store count and data volume. POC engagements at a fixed fee.
TLS 1.3, AES-256 at rest. SOC 2 Type II in progress. On-prem available.
No. Ward sits on top as the intelligence layer that watches your data.
Convenience demand
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 Demand 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.