Promo Effectiveness + Epicor + Furniture Retail
Furniture operators find Promos problems in post-mortems and quarterly reviews. Ward catches them daily, with root causes and recommended actions.
What is Promo Effectiveness for Furniture Manufacturing & Retail?
Promo Effectiveness is the process of ward measures true promotional lift net of cannibalization, pull-forward, and pantry loading.
For Furniture Manufacturing & Retail retailers specifically, this means monitoring 10,000+ SKUs across locations. ERP-locked production data, long lead times, and margin erosion you don't see until quarter-end. Ward connects your internal systems and surfaces what matters.
How Ward delivers Promos insight cards: Ward isolates incremental volume from baseline, measures cross-SKU cannibalization, estimates pull-forward effects, and calculates true ROI.
Key capabilities
- Net lift measurement (not gross)
- Cannibalization quantification
- Pull-forward detection
- Promo ROI scorecards
Chat
Ask anything. Ward routes to the right agent and returns cited answers.
I pulled Store 37’s last 28 days against the chain baseline. Two root causes, both compounding.
| Signal | Finding |
|---|---|
labor_efficiency | Rev/labor-hour −22% vs. cluster, staffing mismatch at 11a–1p peak |
inventory.fresh | Fresh fill 83%, backroom replenishment lag at 2–4p |
promo.lift | BOGO crackers cannibalized Brand Y by 28%, net category +6% |
Recommend: re-baseline Store 37 schedule against true peak, raise replen window to 1p, and review the BOGO before next cycle.
labor_scheduling…
Dashboards
Pinned views built from saved data-lake queries.
Sources
Connect external systems to the data lake.
| Name | Type | Last sync |
|---|---|---|
sap_pos_transactions | import | 2m ago |
sap_inventory_shrinkage | import | 2m ago |
sap_labor_scheduling | import | 14m ago |
retail_inventory_weekly | import | 1h ago |
retail_google_ads_daily | import | 1h ago |
retail_meta_ads_daily | import | 1h ago |
retail_ga4_website_daily | import | 1h ago |
Policies
Browse and manage Cedar access policies for your tenant.
| Policy ID | Effect | Resources |
|---|---|---|
merch-read-default | permit | Model::* |
finance-read-shrinkage | permit | Model::"inventory_shrinkage" |
vendor-blocked | forbid | Model::"labor_*" |
region-west-only | permit | Tenant::"acme" |
Why Promos matters for Furniture retail
Furniture demand bunches around holiday events, Presidents Day, Memorial Day, Labor Day, and a discount-trained customer waits for them. That makes pull-forward the central question: how much of an event's volume was truly incremental versus sales that would have happened anyway. Ward measures net lift after pull-forward and cross-model cannibalization, so the promo calendar is built on real incrementality, not gross event totals.
How Ward connects to Epicor
Ward integrates with Epicor for home improvement, furniture, and building supply retailers. Inventory, purchasing, production, and sales data power insight cards.
Setup: Ward connects via Epicor REST API. Compatible with Epicor Prophet 21 and Epicor Eclipse.
Data Ward reads from Epicor
Impact metrics with Epicor
Data lake enrichment
Ward enriches Epicor data with: Sales orders, Weather & events, Contractor/Pro data, Competitor pricing, Vendor scorecards
Furniture KPI impact
Frequently asked questions
Ward measures true promotional lift net of cannibalization, pull-forward, and pantry loading. For Furniture retail specifically, Ward monitors 10,000+ SKUs across your locations and delivers automated insight cards with root cause analysis and recommended actions.
Ward tracks Inventory carrying cost, Order-to-delivery cycle, Gross margin by channel, Raw material cost variance, Custom order cycle time at the store-category level. Ward isolates incremental volume from baseline, measures cross-SKU cannibalization, estimates pull-forward effects, and calculates true ROI.
Ward connects via Epicor REST API. Compatible with Epicor Prophet 21 and Epicor Eclipse. Data points include: Sales orders, Inventory, Purchase orders, Customer accounts, Pricing tiers, Vendor performance.
Yes. Ward reads Epicor data and combines it with contextual signals (weather, events, demographics) to generate Furniture-specific insight cards. No custom development required.
Ward isolates incremental volume from baseline, quantifies pull-forward by comparing pre- and post-event demand, measures cross-model cannibalization, and calculates true event ROI net of markdown. On thin furniture margins, a promo that mostly shifts timing while trading down the mix can lose money at full-price-equivalent even when the event looks busy.
A Presidents Day mattress event posts a 45% unit lift and looks like a win. Ward decomposes it and shows most of the volume was pulled forward from the four weeks on either side, with true incremental lift closer to 9%. It also finds the promoted mid-tier model cannibalized the higher-margin premium line. Ward's card recommends a shallower discount on the mid-tier and a bundle on the premium line for the next event, protecting margin without losing the traffic the holiday brings.
First insight cards arrive within 48 hours of data connection. Ward needs approximately 2 weeks to establish stable baselines for your specific operation.
No. Ward sits on top of your existing stack. It is the proactive intelligence layer that watches your data continuously and delivers insight cards, so your team acts on findings instead of hunting for them.
Related solutions
See what Furniture promos problems Ward catches.
Root causes, not just alerts. See it on your data.
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