Power BI + Home Retail: Built for CFO
Home retailers have 50,000+ SKUs and blind spots hiding in every store. Ward watches them all and delivers the findings your team doesn't have bandwidth to find. Your Microsoft Power BI data holds answers nobody has time to extract. Ward reads it via read-only APIs.
Ward + Power BI for Home Improvement
Home Improvement retailers running Microsoft Power BI get AI-powered insight cards without custom development. Project-based purchasing, long-tail SKUs, and seasonal volatility. Ward manages the complexity of 50,000+ SKU environments with ease.
How it works: Ward connects to the same data sources Power BI uses. Or reads Power BI datasets via REST API. Your reports stay untouched.
Ward monitors 50,000+ SKUs across your stores and delivers automated insight cards covering Project basket value, Seasonal accuracy, Long-tail turn, and more.
What Ward delivers
- GMROI tracking by category with weekly insight cards
- Inventory carrying cost alerts when capital efficiency drops
- Working capital optimization recommendations based on turnover trends
- SSS decomposition into traffic, conversion, and basket components
- Store-level unit economics cards for capex prioritization
Metrics Ward monitors
Home challenges Ward solves
- Project basket identification
- Seasonal pre-positioning
- Long-tail inventory
- Pro vs DIY segmentation
- Weather-driven demand
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
Impact metrics with Power BI
Data lake enrichment
Ward enriches Power BI data with: Power BI datasets, Underlying SQL/Azure data, Weather & events, Demographics, Custom feeds
Your P&L surprises come from the store floor, not the market.
- ×Margin erosion is discovered at month-end close, not in real time
- ×Inventory carrying costs are a black box
- ×Working capital tied up in slow-moving stock nobody is watching
- ×Same-store sales comps lack decomposition into actionable drivers
- ×Capex decisions for store remodels lack unit-economics evidence
- ✓GMROI tracking by category with weekly insight cards
- ✓Inventory carrying cost alerts when capital efficiency drops
- ✓Working capital optimization recommendations based on turnover trends
- ✓SSS decomposition into traffic, conversion, and basket components
- ✓Store-level unit economics cards for capex prioritization
Inventory distortion — overstock and out-of-stock combined — costs retailers $1.77 trillion globally. — IHL Group
What a Ward insight card looks like
GMROI dropped from $3.10 to $2.65 in frozen foods this quarter. Cause: 3 new SKUs added in Q2 are turning at 40% below category average. Recommend rationalization review.
Home KPI impact
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.
Yes. Ward reads Power BI data and combines it with contextual signals (weather, events, demographics) to generate Home-specific insight cards. No custom development required.
Your P&L surprises come from the store floor, not the market. Ward solves this with automated insight cards: GMROI tracking by category with weekly insight cards. Inventory carrying cost alerts when capital efficiency drops. Working capital optimization recommendations based on turnover trends.
Ward delivers daily insight cards covering Project basket value, Seasonal accuracy, Long-tail turn — tailored for Finance 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 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.
Related solutions
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.
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.
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.
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.
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.
See what Home problems Ward catches.
Root causes, not just alerts. See it on your data.
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.