The 24/7 data analyst for Retail
Menza connects to your POS, staffing, and e-commerce data, answers any questions you have about location performance, labor, and customer behavior, and emails you when something needs attention before it becomes a problem.
Used by Founders and Operators at:
We finally understand why some stores outperform others. It's not just location — it's staffing, timing, and local events. Menza showed us all of it.
Before Menza, admittedly, we relied on gut instinct. Now, every decision from marketing spend to product launches is backed by data we actually trust.
I used to waste hours comparing spreadsheets from different locations. Now I get a single view of everything in minutes.
Menza answers your questions
Ask a question. Get a clear answer.
Connect your tools and ask anything about your business in plain English. You get a straight answer you can trust, based on your real data.
Why did total sales increase but Camden store performance decline?
Analyzed: Square POS, Deputy, Weather Data, Local Events
Total sales are up 12% — but Camden dropped 8%. Here's why:
- Staffing gap: Camden was short-staffed on Saturday (busiest day) — 2 shifts unfilled per Deputy.
- Weather impact: Rain all weekend reduced footfall 23% vs other locations.
- Shoreditch surge: A local market event drove 40% more traffic there, masking Camden's decline.
Recommendation: Prioritize weekend coverage at Camden and consider weather-responsive promotions.
Which shifts are generating the most revenue per hour?
Analyzed: Square POS, Deputy Shifts, Labor Costs
Mapped sales against shift schedules. Here's what stands out:
- Saturday 11am-3pm: £892/hour — your highest performing window.
- Weekday mornings: £234/hour — consider reducing coverage or running promotions.
- Friday evenings: Understaffed — revenue per employee is 2x the average but wait times are up.
Recommendation: Add 1 more staff member to Friday 5-9pm shifts.
Get answers in seconds with no spreadsheets or code. Gain the power to make decisions with confidence.
Menza keeps an eye on your business
You do not have to ask. You just get the important updates.
Menza works 24/7 and emails you when it notices something important — a location underperforming, staffing gaps, or unusual patterns.
Hi there,
Camden is underperforming again this week. Revenue per hour is £180 vs £320 average for your other locations.
Recommendation: Check staffing levels and consider a location-specific promotion to drive traffic.
Hi there,
Based on last 4 weeks, Friday 5-9pm generates 2x revenue per employee vs other shifts — but you're consistently understaffed.
Recommendation: Add 1 more staff member to Friday evening shifts to capture missed revenue.
Most problems are only obvious after it's too late. With Menza, you never miss a critical moment or opportunity.
Put Menza to work
Tell Menza what you need. It shows up, every time.
Want a weekly report? It will be in your inbox at the same time every week. Want to know when something changes? Menza will keep an eye on it for you.
"Compare all locations by revenue, labor cost, and profit margin"
In your inbox, same time every week. No chasing, no forgetting.
"Alert me if any location drops more than 10% vs last week"
Menza watches around the clock. You only hear about it when it matters.
Set it once. Menza handles the rest — reliably, every time.
Built for scale, speed and security
Integrations
Square, Lightspeed, Deputy, Shopify, Xero, and 650+ more
Secure
Bank-level security infrastructure keeps your data safe and private.
Scalable
Self-serve or white-glove onboarding to get your team up and running fast.
See Menza in action
Book a live demo to see how retailers use Menza to compare locations, optimize staffing, and understand omnichannel performance.
Frequently Asked Questions
What data sources does Menza connect with for retail?
Menza connects to Square, Lightspeed, Deputy, Shopify, Xero, Google Ads, and 650+ more data sources across your retail stack.
Can Menza compare performance across multiple locations?
Yes. Menza can benchmark stores against each other, factor in weather, footfall, local events, and staffing levels to explain why performance varies across locations.
How do I get started?
Book a live demo and we'll show you how it works with your data.
Is my data secure?
Yes. Your data stays on your servers. We don't access it, and we don't use it to train any models. Credentials are encrypted and never shared with third parties.