Specialty · Lightspeed · Head of E-Com

What a specialty Head of E-Com pulls out of Lightspeed

Ward ingests Lightspeed Retail and delivers specialty daily cards scoped to e-commerce. Your online and offline data live in different worlds.

Ward and Lightspeed for Specialty e-commerce

For Specialty Retail retailers, that means watching 5,000+ SKUs throughout boutiques. High-consideration purchases, curated assortments, and customer lifetime value. Ward tracks the metrics that matter for margin-rich retail.

Your online and offline data live in different worlds. Ward writes the finding at the altitude a Head of E-Com works at.

How the connection works. Ward connects via Lightspeed Retail API. OAuth-based authentication. Read-only access.

app.getward.ai Live demo
Acme Specialty @Store Ops: Retail Analyst claude-sonnet default
A

Chat

Ask anything. Ward routes to the right agent and returns cited answers.

Why is conversion down at the flagship boutiques?
You · 9:42 AM
Schema Scout · routed to Store Ops Agent

I pulled traffic against conversion by hour for the four flagships. Traffic is fine. The gap is coverage and depth.

SignalFinding
traffic_conversionConversion 18.4% vs. 23.1% chain, all of the gap in 12–2p and 5–7p
labor.coverageOne associate on the floor through both peaks at 3 of 4 doors
inventory.depthTop 20 styles at 1.4 units per size, walk-away rate +9%

Recommend: add floor coverage to both peak windows, deepen the top 20 styles to three per size at the flagships, and route the walk-away list to clienteling.

8 parallel queries 3 sources cited confidence 0.91
Draft the clienteling outreach list.
You · 9:43 AM
Clienteling Agent · drafting outreach list
Querying traffic_conversion
Ask anything, Ward routes to the right agent. Cmd+K

Reporting

Pinned views built from saved data-lake queries. Every number re-derivable from its SQL.

7d13w52w
Revenue vs. plan
$27.5M
+4.4% WoW
Conversion rate
18.3%
−4.7pp
UPT, flagships
2.14
−0.18
At-risk CLV, top decile
$4.1M
−$310K
Revenue vs. plan 13 weeks actual, 6 weeks forecast, 80% interval
Actual Forecast 80% interval
% of plan 106 94 100 forecast → W−13 W−5 today +6wk
Holt-Winters + weather regressor MAPE 4.1% at 4wk Backtested 24 months Crosses plan in 3 weeks
Forecast error by horizon MAPE, 24-month backtest
1wk 2.1%
2wk 3.0%
4wk 4.1%
8wk 6.3%
13wk 8.9%
Accuracy bar for promo decisions: ≤5% at 4wk
Models in production Every forecast ships a model card
ModelHorizonMAPE
holt_winters4wk4.1%
arima_sarimax13wk8.9%
gbm_demand1wk2.1%
bayes_hiernew store11.4%

Sources

Connect external systems to the data lake.

NameTypeLast sync
shopify_orders_dailyimport2m ago
lightspeed_store_salesimport2m ago
netsuite_inventory_snapshotimport14m ago
retail_customer_ltvimport1h ago
retail_traffic_conversionimport1h ago
retail_clienteling_logimport1h 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
ops-read-defaultpermitModel::*
crm-read-ltvpermitModel::"customer_ltv"
associate-pii-blockedforbidModel::"customer_pii"
merch-read-assortmentpermitModel::"sales_by_tier"
for Specialty on Lightspeed data, live product demo.

What Ward delivers

  • 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

Metrics Ward monitors

CLV
Conversion rate
Units per transaction
Repeat purchase rate
Sell-through by tier

Specialty challenges Ward solves

  • Assortment curation
  • Customer lifetime value
  • Staff selling effectiveness
  • Clienteling optimization
  • Inventory depth vs breadth

What Ward has eyes on.

Ward watches 5,000+ SKUs across your boutiques, at the store-category level rather than the chain roll-up. The metrics under watch include CLV, conversion rate, units per transaction. A roll-up hides a single-store problem inside a healthy average, which is how assortment curation stays invisible for a quarter.

Ward ingests Lightspeed rather than replacing it. Sales transactions, inventory counts, customer profiles come across on a read-only connection, get enriched with contextual data, and come back as insight cards. Your POS is untouched.

Why this combination
is its own problem.

A Head of E-Com in specialty retail owns numbers that move faster than the reporting cycle that covers them. CLV, conversion rate, units per transaction shift store by store, every morning. A monthly pack cannot represent that. Your online and offline data live in different worlds.

What the first 90 days
actually look like.

  1. 01

    Week 1: connect

    Read-only credentials to Lightspeed Retail. Ward pulls from sales transactions, inventory counts, customer profiles and starts building baselines. First findings land inside 48 hours, before baselines are stable, so you can see the shape of the output early.

  2. 02

    Weeks 2 to 3: baselines

    Ward needs roughly two weeks of history per store to separate a real deviation from normal variance. During this window the cards are directionally right and the thresholds are still moving.

  3. 03

    Weeks 4 to 12: steady state

    Ward hands you cards daily, each with the driver and a recommended action. Volume settles at a level a single person can read over coffee. The measure of success is not how many daily cards arrive, it is how many get acted on.

How Ward connects to Lightspeed Retail

Ward integrates with Lightspeed Retail POS for specialty and boutique retailers. In-store transaction data powers customer behavior and assortment insight cards.

Setup: Ward connects via Lightspeed Retail API. OAuth-based authentication. Read-only access.

Data Ward reads from Lightspeed

Sales transactions
Inventory counts
Customer profiles
Purchase orders
Employee performance

Impact metrics with Lightspeed

Customer LTV
Lapsing buyers flagged
Purchase cadence and segment data reveal re-engagement windows.
Conversion Rate
Staffing-timing link found
Transaction data reveals which staff and hour combos convert.
Revenue per SKU
Whitespace identified
Underperformers and assortment gaps surfaced from sales data.
Inventory Accuracy
Count-to-velocity matched
Inventory counts reconciled against POS sell-through live.

Data lake enrichment

Ward enriches Lightspeed data with: Sales transactions, Customer profiles, Weather & events, Competitor data, Demographic data

Your online and offline data live in different worlds.

Pain points
  • ×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
How Ward helps
  • 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

Retailers with unified omnichannel data see 30% higher lifetime value per customer. Source: Harvard Business Review

Specialty KPI impact

CLV
Churn risk surfaced
At-risk customers identified before they leave.
Conversion Rate
Assortment + staffing
Cards that help convert high-intent browsers.
Revenue per SKU
Whitespace found
Underperformers identified, gaps in curated assortment.
Overstock
Less capital locked
Demand matching reduces slow-moving inventory.

Frequently asked questions

Ward connects via Lightspeed Retail API. OAuth-based authentication. Read-only access. Data points include: Sales transactions, Inventory counts, Customer profiles, Purchase orders, Employee performance.

Yes. Ward reads Lightspeed data and combines it with contextual signals (weather, events, demographics) to generate Specialty-specific insight cards. No custom development required.

Your online and offline data live in different worlds. Ward solves this with automated insight 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.

Ward delivers daily insight cards covering CLV, Conversion rate, Units per transaction, tailored for E-Commerce decision-making. Each card includes what changed, why it matters, and what to do next.

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.

See what Specialty problems Ward catches.

Root causes, not just alerts. See it on your data.

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