Director / Head · E-Commerce

Your online and offline data live in different worlds.

Your e-commerce team has the data. They don’t have the bandwidth to find what’s buried in it. Ward delivers the findings, with root causes attached. Click any number to see the SQL.

Retailers with unified omnichannel data see 30% higher lifetime value per customer.Source: Harvard Business Review
Ward · Head of E-Com Live
Which SKUs are dead weight right now?
Schema Scout → Merchandising Agent

Ranked on GMROI and velocity together, not units alone, so profitable slow movers survive the cut.

gmroi.sku412 SKUs below $0.90 GMROI holding $1.8M in working capital
assortment.gap31 SKUs selling in the urban cluster are unstocked in a demographically matched cluster
11 parallel queries POS + cost + on-hand confidence 0.94

What e-commerce finds out
too late.

Your online and offline data live in different worlds.

Nobody can see one inventory position across every channel

Online promo performance is measured separately from in-store

Customer behavior data is siloed by channel

BOPIS/BORIS operational complexity is growing unchecked

Digital marketing attribution stops at the click

Retailers with unified omnichannel data see 30% higher lifetime value per customer.

Source: Harvard Business Review

Insight cards for
e-commerce leaders.

Before Ward
Problems surface in the quarterly review. By then, the damage is done.
  • ×Nobody can see one inventory position across every channel
  • ×Online promo performance is measured separately from in-store
  • ×Customer behavior data is siloed by channel
  • ×BOPIS/BORIS operational complexity is growing unchecked
With Ward
Problems surface at 6:47 AM with root causes and recommended actions.
  • Unified insight cards across online and in-store channels
  • Cross-channel promo effectiveness with true attribution
  • Customer journey tracking across digital and physical touchpoints
  • BOPIS fulfillment performance monitoring with exception cards

Unified insight cards across online and in-store channels

Cross-channel promo effectiveness with true attribution

Customer journey tracking across digital and physical touchpoints

BOPIS fulfillment performance monitoring with exception cards

Full-funnel marketing attribution to in-store conversion

From signature
to running insights.

A live pilot for e-commerce leaders hits these milestones on real data, on a fixed-fee schedule.

Week 1
Basket composition shifts and daypart patterns surfaced.
Month 1
Customer segment migration tracked. Cross-sell opportunities flagged per cohort.
Quarter 1
Online vs offline assortment gap weekly. Price elasticity per channel live.

This is what Ward
delivers to you.

app.getward.ai Live demo
Acme Retail @Merchandising: VP Analyst claude-sonnet default
A

Dashboards

Pinned views built from saved data-lake queries.

Revenue vs. forecast +4.2% WoW
Gross margin % −3.2pp
Fill rate, fresh 83%
Shrink, West region +0.8pp

Sources

Connect external systems to the data lake.

NameTypeLast sync
sap_pos_transactionsimport2m ago
sap_inventory_shrinkageimport2m ago
sap_labor_schedulingimport14m ago
retail_inventory_weeklyimport1h ago
retail_google_ads_dailyimport1h ago
retail_meta_ads_dailyimport1h ago
retail_ga4_website_dailyimport1h ago

Policies

Browse and manage Cedar access policies for your tenant.

TLS 1.3 AES-256 Read-only SOC 2 II
Policy IDEffectResources
merch-read-defaultpermitModel::*
finance-read-shrinkagepermitModel::"inventory_shrinkage"
vendor-blockedforbidModel::"labor_*"
region-west-onlypermitTenant::"acme"
Evidence trail, composable charts, a live data lake. Every finding inspectable.
Ward · for Head of E-Com06:47 AM

Evening shoppers (6-9 PM) adding 22% more ready-to-eat items online vs last quarter. Click-and-collect fulfillment at Store 14 is 18 min slower than estate average.

✓ Action recommendedE-Commerce context
SOC 2 II Read-only by default VPC · PrivateLink Every query inspectable

Read-only credentials, Cedar policy per agent, a full reasoning trail on every number. Your security review is short and your data team is not carrying the risk.

Read the security posture →

The blind spots that cost
e-commerce leaders the most.

KPIs that erode quietly when nobody’s watching, one from each vertical this role covers.

Fashion
Markdown Rate
Shallower, earlier
Slow movers detected before deep clearance is the only option.
Home
Seasonal Accuracy
Weather + event driven
Pre-positioning adjusted for peak season signals.
Specialty
CLV
Churn risk surfaced
At-risk customers identified before they leave.
Furniture
Inventory Carrying Cost
Aged stock flagged
Slow-moving SKUs identified before carrying costs compound.

What Ward covers
for e-commerce leaders.

Two ways to start.

Run a fixed-fee pilot on your data, or talk to advisory about a broader engagement.

Control AI spend by department and user.
Without skimping on the outcome.

Give every department and every user a compute budget. Ward routes each question to the cheapest model that clears the quality bar, so finance caps the spend without capping what the business gets back.

Compute budgets, this month 68% used · on pace
Merchandising
14,200 / 20,000
Supply Chain
9,800 / 15,000
Store Ops
6,100 / 10,000
Ecommerce
4,700 / 5,000
Finance
3,400 / 5,000
Per-user caps. Alerts at 80%. Hard stop or overage approval, your call. Ecommerce flagged at 94%, before it became a surprise invoice.

Your online and offline data live in different worlds.

See what Ward finds for E-Commerce leaders, with root causes and recommended actions.

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.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info