Specialty · Lightspeed · VP Merchandising

Lightspeed Retail plus Ward, for a specialty VP Merchandising

Ward ingests Lightspeed Retail and delivers specialty findings scoped to merchandising. Your category managers are drowning in spreadsheets.

What a specialty VP Merchandising gets from Lightspeed Retail

In a Specialty Retail estate the job is 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 category managers are drowning in spreadsheets. Ward filters to what a VP Merchandising can act on and drops the rest.

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

  • Insight cards flag promo cannibalization the day it happens
  • Assortment gaps and whitespace opportunities surface automatically
  • Price elasticity shifts detected before margin erosion compounds
  • Category-level performance cards replace manual spreadsheet reviews
  • Vendor scorecards generated from actual fill rate and quality data

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.

The connection to Lightspeed Retail is read-only and runs on your schedule. Ward reads straight from sales transactions, inventory counts, and the rest of the feed, then stitches together it with external context your POS does not carry: weather, local events, competitor pricing.

Coverage is store by store, category by category. Ward watches CLV, conversion rate, units per transaction over 5,000+ SKUs and compares each store against its own baseline, not against the chain. That is the difference between knowing the estate is fine and knowing which seven boutiques are not.

Why this combination
is its own problem.

Lightspeed Retail was built for transactions, not for merchandising decisions. The data is right there and it is in the wrong shape. Ward ingests sales transactions and inventory counts and rewrites them as a decision.

What the first 90 days
actually look like.

  1. 01

    Week 1: read-only connection

    Ward reads from Lightspeed Retail with read-only credentials and begins ingesting sales transactions and inventory counts. No config changes on your side. First findings arrive inside the first 48 hours.

  2. 02

    Weeks 2 to 3: calibration

    Baselines stabilize per store and per category. Ward stops flagging normal variance and starts flagging exceptions. This is the window where the false positive rate drops sharply.

  3. 03

    Weeks 4 to 12: operating rhythm

    Findings arrive daily and get triaged like any other queue. Most teams find the volume settles into something one person clears in ten minutes. What matters is the action rate, not the alert count.

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 category managers are drowning in spreadsheets.

Pain points
  • ×Promo planning still runs off last year's playbook
  • ×Assortment reviews happen quarterly when they should happen daily
  • ×Price changes chase the market a week behind it
  • ×No visibility into true cannibalization across categories
  • ×Vendor negotiations lack real-time sell-through evidence
How Ward helps
  • Insight cards flag promo cannibalization the day it happens
  • Assortment gaps and whitespace opportunities surface automatically
  • Price elasticity shifts detected before margin erosion compounds
  • Category-level performance cards replace manual spreadsheet reviews
  • Vendor scorecards generated from actual fill rate and quality data

Retailers lose an estimated $300B+ annually to suboptimal assortment and promotional decisions. Source: McKinsey & Company

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 category managers are drowning in spreadsheets. Ward solves this with automated insight cards: Insight cards flag promo cannibalization the day it happens. Assortment gaps and whitespace opportunities surface automatically. Price elasticity shifts detected before margin erosion compounds.

Ward delivers daily insight cards covering CLV, Conversion rate, Units per transaction, tailored for Merchandising 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