Industries
Restaurant data made actionable.
Restaurant operators generate data from every shift — POS transactions, labor schedules, delivery platforms, food costs, customer reviews. The problem isn't the data. It's that no one has time to turn it into decisions. We build the systems that do that work for you.
Common challenges for restaurant data teams.
Restaurant operators generate data from every shift — POS transactions, labor schedules, food cost trackers, delivery platform reports, customer reviews, loyalty programs. But most multi-location operators are still assembling weekly reports from 5-6 different systems, and by the time leadership sees the numbers, the week is already over.
Pain points we see most often
- ✓Labor costs that fluctuate unpredictably because scheduling isn't informed by sales forecasts or traffic patterns.
- ✓Food cost tracking that happens in spreadsheets — catching waste after it's already happened instead of preventing it.
- ✓Multi-location operators who can't compare store performance fairly because each location reports from different POS and back-office systems.
- ✓Delivery platform data (DoorDash, Uber Eats, Grubhub) that lives in separate portals and never gets consolidated with in-house POS data.
What we've delivered for restaurant groups
For WKS Restaurant Group (380+ locations across 5 brands), we unified cross-brand data into a single analytics platform — giving their corporate team the ability to compare performance across brands, regions, and individual stores for the first time.
For a national pizza chain, we built smart dashboards that helped boost profits across 400+ locations by giving GMs visibility into the metrics that matter most: labor efficiency, food cost percentage, and ticket averages.
We've helped restaurants cook up tasty results.
“The VisionWrights team brought the perfect mix of marketing ops and data/reporting support to the table. Not only did they accomplish what we needed in a timely manner, they brought a different perspective and additional knowledge to the team. We were able to work faster, smarter, and more strategically while we had them on board. This was one of the best partnerships we've had, hands down.”
Kacee Court
Marketing Ops | Hunger Rush
Frequently Asked Questions
What restaurant data sources can you connect?
We integrate POS systems (Toast, Square, Aloha, Revel), labor scheduling platforms, delivery aggregators (DoorDash, UberEats, Grubhub), food cost tracking tools, inventory systems, and customer review data. Most multi-location operators have 6-8 disconnected data sources.
How can analytics help multi-location restaurant operators?
Unified analytics across all locations enables labor optimization, menu engineering, food cost tracking, same-store sales comparison, and identification of underperforming locations. Operators can spot trends across the chain that are invisible when each store reports separately.
Do you work with franchise operators?
Yes. Franchise operators face unique data challenges: multiple POS instances, varied reporting formats across franchisees, and corporate compliance requirements. We build consolidated reporting that works across all locations while respecting franchise agreements.
How long does a restaurant analytics project take?
Initial dashboards covering labor, food cost, and sales are typically ready in 4-6 weeks. Most operators see their first actionable insights within the first month — often starting with labor scheduling optimization, which has the fastest ROI.
What ROI can restaurants expect from better analytics?
Labor optimization, food cost reduction, and menu engineering improvements are the most common wins. Clients typically save 2-5% on food costs and reduce labor overages through better scheduling analytics. For a 10-location operation, these savings add up quickly.
Success Stories in Restaurants
Unifying Cross-Brand Data for a 380+ Location Restaurant Group
How VisionWrights helped WKS Restaurant Group leverage data from across 380+ restaurants and 5 brands — from POS and HR systems to customer sentiment — to drive performance across the organization.
How Smart Dashboards Helped a National Pizza Chain Boost Profits Across 400+ Locations
How VisionWrights built operational dashboards for a national pizza franchise that revealed which promotions drove profit and which eroded margins across 400+ locations in 25 states.
Insights for Restaurants
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 Restaurants: Connecting the Kitchen, the Counter, and the P&L
Restaurant groups generate thousands of data points per location per day — but most can't answer basic cross-location questions. A practical guide to building a data strategy that unifies POS, labor, food cost, and guest data.
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