Ward for
Specialty retail.
Assortment curation. Customer lifetime value. High-consideration purchases, curated assortments, and customer lifetime value. Ward tracks the metrics that matter for margin-rich retail.
Ranked on GMROI and velocity together, not units alone, so profitable slow movers survive the cut.
gmroi.sku | 412 SKUs below $0.90 GMROI holding $1.8M in working capital |
|---|---|
assortment.gap | 31 SKUs selling in the urban cluster are unstocked in a demographically matched cluster |
Gross lift looked strong. Net of cannibalisation and pull-forward it destroyed value.
promo.gross_lift | Promoted SKU +41% against its own baseline |
|---|---|
promo.net | After category cannibalisation and pull-forward, net contribution −$14K |
Pulled Store 37’s last 28 days against the chain baseline. Two compounding causes.
labor_efficiency | Revenue per labor hour −22%, staffing miss at the 11a–1p peak |
|---|---|
promo.lift | BOGO crackers cannibalised Brand Y −28%, net category only +6% |
Nine SKU-store pairs cross the predicted-zero threshold inside 48 hours. Store 22 produce is the most urgent.
forecast.daily | Lettuce at Store 22: 84 units/day against 38 on hand, zero by 11a Thursday |
|---|---|
supplier.lead | Regional DC lead time 18 hours, no sufficient PO already in transit |
Problems Specialty operators
find too late.
The failure modes that usually surface in a post-mortem, weeks after anyone could act on them.
Source: Bain & Company / NRF
Dashboards
Pinned views built from saved data-lake queries.
Sources
Connect external systems to the data lake.
| Name | Type | Last sync |
|---|---|---|
shopify_orders_daily | import | 2m ago |
lightspeed_store_sales | import | 2m ago |
netsuite_inventory_snapshot | import | 14m ago |
retail_customer_ltv | import | 1h ago |
retail_traffic_conversion | import | 1h ago |
retail_clienteling_log | import | 1h ago |
retail_ga4_website_daily | import | 1h ago |
Policies
Browse and manage Cedar access policies for your tenant.
| Policy ID | Effect | Resources |
|---|---|---|
ops-read-default | permit | Model::* |
crm-read-ltv | permit | Model::"customer_ltv" |
associate-pii-blocked | forbid | Model::"customer_pii" |
merch-read-assortment | permit | Model::"sales_by_tier" |
Where Specialty operators
leave money on the table.
The KPIs Ward monitors, and what changes when someone is watching.
Ward needs 3\u20136 months to reach statistical confidence at the individual store level. High-ticket, low-frequency retailers should expect longer baselines than replenishment-oriented specialty.
Insight cards for Specialty.
What Ward covers
for specialty retail.
Specialty integrationsRead-only by default.
Built for specialty leadership
Metrics Ward moves
Platform pieces specialty teams lean on
Operator stories
and the alternatives.
Questions about Ward for specialty retail.
First insight cards within 48 hours of connecting to your data. Stable baselines across 5,000+ SKUs and your store estate within roughly two weeks.
Ward connects to the systems specialty operators actually run: ERP, POS, e-commerce, data warehouses, and BI tools. Read-only API access. No data movement required.
No. Ward sits on top of the data your dashboards already visualize and surfaces what changed, why, and what to do, between dashboard refresh cycles, while your team is doing other work.
Two ways to start.
A fixed-fee pilot on your specialty data, or a broader advisory engagement.
Playbooks for Specialty.
By department and system.
Tuned to Specialty Retail velocity and systems.
Merchandising
Supply Chain
Store Operations
See what Specialty operators are missing.
Ward finds the margin leaks, shrinkage patterns, and promo misfires your reports don’t surface.
Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly
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.