Industries
Rethink retail data analytics & business intelligence.
Retail runs on margins, inventory turns, and customer behavior. We help retailers build data-driven analytics plans that connect POS data, e-commerce metrics, and supply chain visibility into a single view your merchandising and operations teams can act on daily.
Common challenges for retail data teams.
Retail organizations generate enormous volumes of data — POS transactions, e-commerce clicks, inventory movements, supply chain signals, customer loyalty programs. The challenge isn't the data. It's that it lives in 8-12 disconnected systems, and the teams who need it most are the last to get it.
Pain points we see most often
- ✓Inventory decisions based on last week's data instead of real-time demand signals — leading to overstocks in some locations and stockouts in others.
- ✓Marketing spend that can't be tied to in-store revenue because online and offline data live in separate systems.
- ✓Store managers drowning in spreadsheets instead of acting on dashboards that show what matters this shift.
- ✓Multi-location retailers struggling to compare performance across stores because each location reports differently.
What we've delivered for retailers
For a national appliance retailer, we built a predictive parts recommendation system that reduced inventory carrying costs and improved first-visit repair rates.
For a multi-brand retailer, we connected POS, e-commerce, and supply chain data into a single analytics platform — and helped their merchandising team boost holiday sales with real-time dashboards.
Retail data services for greater visibility and profits.
There's no such thing as a one-size-fits-all data solution, so we tailor everything to your business needs and goals.
Data Analytics & BI
Get full visibility through retail data analysis, custom dashboards and reports, and retail business intelligence (BI) tools to make smarter decisions about inventory, sales, and more.
Learn moreAI & ML
Retail artificial intelligence (AI) and machine learning (ML) can predict customer behavior, spot trends, personalize shopping experiences, target prospects, and automate.
Learn moreData Strategy
Establish an actionable strategy to understand where you're at and how you'll get where you want to go using retail data strategies and BI to achieve measurable growth.
Learn moreData Engineering
We'll help you gather, process, integrate, and act on consumer and supply chain data more efficiently by building robust data architectures and seamless retail data pipelines.
Learn moreWe've helped retailers reduce waste and improve margins.
“Leveraging a platform has enabled Yale Appliance to extract valuable insights for comprehensive operational understanding, especially in sales. This insight aids in informed, real-time decisions. The partnership with Envisa and VisionWrights enhances integration and support, with a focus on rolling out a user-friendly sales staff dashboard to streamline data analysis and improve productivity, aiming for continuous business improvement.”
Leo Goncalves
Operations/IT at Yale
“With interactive dashboards from VisionWrights and Envisa, we provide our team with the right data at the right time. This data allows us to navigate our business so we can deliver quality products and superior service that separates us from the competition.”
Ray McShane
COO at Don's Appliances
Frequently Asked Questions
How can data analytics improve retail operations?
Data analytics helps retailers optimize inventory levels, forecast demand more accurately, understand customer purchasing behavior, and compare performance across locations. By connecting POS, e-commerce, and supply chain data into a single view, merchandising and operations teams can make faster, more informed decisions.
What retail data sources can you integrate?
We integrate POS systems (Shopify, Square, Lightspeed), e-commerce platforms, supply chain and inventory management tools, customer loyalty programs, and foot traffic data. Most retailers have 5-10 data sources that need to be consolidated before analytics can be effective.
How long does a retail analytics implementation take?
Initial dashboards are typically ready in 4-8 weeks. We start with the metrics that matter most to your merchandising and operations teams, then expand as your team adopts the tools. Most retailers see actionable insights within the first month.
Do you work with multi-location retailers?
Yes. Multi-location retailers are one of our core client types. Consolidating data across stores — each potentially running different POS configurations — is a common challenge we solve. We build unified reporting that allows same-store comparisons and chain-wide visibility.
What ROI can retailers expect from better analytics?
Clients typically see 10-15% inventory cost reduction through better demand forecasting, measurable improvements in merchandising decisions, and significant time savings from automated reporting that replaces manual spreadsheet work.
Success Stories in Retail
Predictive Parts Recommendation for a National Appliance Retailer
How VisionWrights built a predictive model that translates customer issue descriptions into likely parts needed — improving first-time-complete repair rates.
Benchmark Reporting Across 631 Stores for a National Retail Cooperative
How VisionWrights built benchmark reporting across 631 stores, 2M+ UPCs, and $11B in retail sales for a member-based farm and ranch supply cooperative.
Multi-Tier Sales Visibility for a Wholesale Distribution Agency
How VisionWrights built a single reporting solution with row-level security for IvyStone — replacing hundreds of individual dashboards with one source of truth.
Insights for Retail
Analytics & BI
Hub-and-Spoke Reporting: One View Across Franchises, Subsidiaries, and Portfolio Companies
Franchisors, PE firms, and corporate parents all face the same challenge: creating a single pane of glass across distributed entities with different systems. A practical guide to hub-and-spoke reporting infrastructure.
Analytics & BI
Multi-Location Analytics: What Franchise Operators Need
Operating 50, 200, or 600+ locations means operating with inconsistent data. Here's how franchise operators build analytics that actually scale.
Data Strategy
Data Strategy for Retail: From Point-of-Sale to Competitive Advantage
Retail generates enormous data volume across channels, but most retailers lack a unified view. Learn how to build a data strategy that connects POS, e-commerce, inventory, and customer data into better decisions.
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