Customer · Power BI

Customer Behavior + Power BI

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

Customer Behavior powered by Microsoft Power BI

Customer Behavior is the process of ward tracks basket composition shifts, daypart patterns, and customer segment migration.

When connected to Microsoft Power BI, Ward reads power bi rest api datasets, underlying sql/azure data, dataflow outputs and enriches them with contextual signals to generate customer insight cards. Ward connects to the same data sources Power BI uses. Or reads Power BI datasets via REST API. Your reports stay untouched.

How Ward delivers Customer insight cards: Ward analyzes transaction-level data to detect shifts in basket composition, shopping frequency, daypart preferences, and segment movement.

Key capabilities

  • Basket composition trends
  • Daypart behavior modeling
  • Customer segment migration
  • Cross-sell opportunity detection
app.getward.ai
Live product demo — Ward analyzing retail data in real time.

How Ward connects to Microsoft Power BI

Ward sits alongside Power BI. Your dashboards visualize. Ward detects and explains what changed. No dashboard login needed for your morning brief.

Setup: Ward connects to the same data sources Power BI uses. Or reads Power BI datasets via REST API. Your reports stay untouched.

Data Ward reads from Power BI

Power BI REST API datasets
Underlying SQL/Azure data
Dataflow outputs

Impact metrics with Power BI

Time to Insight
Push, not pull
Insight cards delivered without waiting for someone to look.
Anomaly Detection
Between-refresh coverage
Issues surfaced before the next scheduled Power BI review.
Decision Velocity
Cause analysis included
No drill-down investigation; cards carry root cause context.
Report Efficiency
Ad-hoc requests reduced
Proactive cards answer questions before analysts get asked.

Data lake enrichment

Ward enriches Power BI data with: Power BI datasets, Underlying SQL/Azure data, Weather & events, Demographics, Custom feeds

What a Ward insight card looks like

Ward · Customer06:47 AM

Evening shoppers (6-9 PM) adding 22% more ready-to-eat items vs last quarter. Deli adjacency planogram opportunity identified.

✓ Action recommendedPower BI data

Frequently asked questions

Ward connects to the same data sources Power BI uses. Or reads Power BI datasets via REST API. Your reports stay untouched. Data points include: Power BI REST API datasets, Underlying SQL/Azure data, Dataflow outputs.

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
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Customer acquisition lift for data‑driven orgs
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Foundation models shipped since 2022
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Guarantees any single model stays on top

See what customer 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.

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