Real-time pricing for multi-store Convenience & C-Store.
Store-level pricing signals, caught before they compound into margin loss.
Why pricing matters
in convenience retail.
Customers know exactly what a Coke costs, but the majority of a c-store's SKUs carry no mental reference price. Ward identifies which items have elastic demand and which have inelastic demand, so you can price at the item level without triggering price perception issues on the items customers actually compare.
Benchmarks. C-store inside-store gross margins run 30-38% on average, with packaged beverages at 35-45%, tobacco at 12-18%, and HBA/automotive often above 50%. Most operators have 200-400 actively priced KVIs; the other 2,500+ SKUs typically have 100-300 bps of unrealized margin headroom.
Micro-pricing test, 200-store chain
Ward segments 3,000 SKUs into price-awareness tiers: KVIs where customers compare, moderate-awareness items, and low-awareness categories like automotive and seasonal. Ward recommends holding KVI prices while implementing small increases on low-awareness items. Pilot stores show zero volume decline on adjusted items with meaningful weekly margin gains.
Three pitfalls Ward catches
in convenience pricing.
- 01 Cigarettes and beverages get over-managed for price perception while automotive, health-and-beauty, and seasonal items are left at default cost-plus margins despite low elasticity.
- 02 Fuel pricing decisions are made independently of inside-store pricing, missing that fuel customers anchor on the canopy price and barely notice inside markups.
- 03 Daypart-uniform pricing ignores that the 6 AM coffee buyer and the 9 PM impulse buyer have completely different price sensitivities.
How Ward runs pricing
for convenience retailers.
-
01
Score every SKU on price awareness
Ward classifies SKUs into high/medium/low awareness tiers using mention frequency, basket position, and elasticity proxy, at the store-cluster level.
-
02
Test increases on low-awareness items first
Cards recommend modest price moves (typically 2-8%) on tail-awareness items in 5-10% of stores with matched controls.
-
03
Roll only after multi-week verification
Ward holds the recommendation until 3-6 weeks of post-test data show no volume erosion at the basket or category level.
What a Ward card looks like.
Chat
Ask anything. Ward routes to the right agent and returns cited answers.
I pulled the 6–9a daypart for the 14 Route 9 sites against the chain baseline. Two causes, one of them scheduling.
| Signal | Finding |
|---|---|
daypart_sales | 6–9a revenue −11% vs. chain, coffee units −18% |
labor_scheduling | Second associate clocks in at 7:30a, peak starts 6:40a at 9 of 14 sites |
foodservice.waste | Breakfast sandwich waste 14%, hold times past 4 hours at 6 sites |
Recommend: move the second open to 6:15a at those nine sites, cut the breakfast batch by one tray, and re-check attach in two weeks.
daypart_sales…
Dashboards
Pinned views built from saved data-lake queries.
Sources
Connect external systems to the data lake.
| Name | Type | Last sync |
|---|---|---|
ncr_pos_transactions | import | 2m ago |
pdi_fuel_transactions | import | 2m ago |
verifone_forecourt_events | import | 14m ago |
ncr_planogram_audit | import | 1h ago |
retail_daypart_sales | import | 1h ago |
retail_foodservice_waste | import | 1h ago |
retail_labor_scheduling | import | 1h ago |
Policies
Browse and manage Cedar access policies for your tenant.
| Policy ID | Effect | Resources |
|---|---|---|
ops-read-default | permit | Model::* |
lp-read-shrinkage | permit | Model::"inventory_shrinkage" |
vendor-blocked | forbid | Model::"labor_*" |
fuel-team-forecourt | permit | Model::"fuel_transactions" |
Convenience pricing:
the shift.
- ×Daypart demand variation
- ×Planogram compliance
- ×Impulse category optimization
- ✓Real-time elasticity measurement
- ✓Category-level price sensitivity
- ✓Competitive price monitoring
Questions about convenience pricing.
Customers know exactly what a Coke costs, but the majority of a c-store's SKUs carry no mental reference price. Ward identifies which items have elastic demand and which have inelastic demand, so you can price at the item level without triggering price perception issues on the items customers actually compare.
Ward segments 3,000 SKUs into price-awareness tiers: KVIs where customers compare, moderate-awareness items, and low-awareness categories like automotive and seasonal. Ward recommends holding KVI prices while implementing small increases on low-awareness items.
Ward tracks item-level price awareness, daypart elasticity differences, competitive proximity impact on sensitivity, and fuel-to-inside attach rate sensitivity.
First pricing insight cards arrive within 48 hours. Stable convenience baselines form within two weeks.
Convenience pricing
by data source.
More Convenience insight cards.
Convenience retailers: see what pricing problems Ward catches.
Root causes, not just alerts. See it on your data.
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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.