Demand · Lightspeed

Demand Forecasting + Lightspeed

Most retailers discover Demand problems too late. Ward delivers automated insight cards — what changed, why, and what to do — while there's still time to act.

Demand Forecasting powered by Lightspeed Retail

Demand Forecasting is the process of ward combines historical patterns, weather data, local events, and economic signals to forecast demand at the store-sku-day level.

When connected to Lightspeed Retail, Ward reads sales transactions, inventory counts, customer profiles and enriches them with contextual signals to generate demand insight cards. Ward connects via Lightspeed Retail API. OAuth-based authentication. Read-only access.

How Ward delivers Demand insight cards: Ward builds store-level demand models incorporating seasonality, weather forecasts, promotional calendars, local events, and macroeconomic indicators.

Key capabilities

  • Store-SKU-day level precision
  • Weather-driven adjustment
  • Event and holiday modeling
  • Automatic reorder point recalculation
app.getward.ai
Live product demo — Ward analyzing retail data in real time.

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

What a Ward insight card looks like

Ward · Demand06:47 AM

72-hour heat wave predicted for Dhaka region. Historical model suggests +18% on beverages, +12% on ice cream. Pre-position recommended.

✓ Action recommendedLightspeed data

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.

First insight cards arrive within 48 hours of data connection. Ward needs approximately 2 weeks to establish robust 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.

Ward
Insight
Dispatch
Feedback
Evaluate
Learn
01

Insights surface

Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.

Real-time detection Root cause + recommendation
02

Insights become actions

Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.

Tickets created automatically Dispatched to the right person
03

Your team responds

Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.

Vote up / down Ticket completed Reasoning attached
04

Outcomes measured

Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.

KPI impact tracked Results vs. prediction scored
05

Agents get sharper

Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.

Cycle repeats, sharper each time
$1.8T
Projected global AI market by 2030
0
×
Customer acquisition lift for data‑driven orgs
0
+
Foundation models shipped since 2022
0
Guarantees any single model stays on top

See what demand problems Ward catches.

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

Get a demo

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