Free diagnostic for retail stores and D2C brands
What is your retail brand really paying for?
Most run shopify apps, Meta lead forms, a billing POS and a separate SMS/WhatsApp tool. Two minutes here works out what that costs a year once admin time is counted — and what cart and enquiry abandonment, with offline and online customer records kept apart is costing on top.
- Built for retail stores and D2C brands, not generic SMBs
- Every assumption behind the numbers is shown
- Ends with the fix, not a brochure
1 of 4 · about 2 minutes
How the score was built
What it costs to fix
| Software you pay for now | — |
|---|---|
| Zeo Suite | — |
| Saved on licences | — |
| Admin time returned | — |
| Estimated first-year saving | — |
Price taken from the published pricing page, checked . Your licence saving compares two real numbers; the time figure is an estimate, explained below.
What it costs to fix
We have not published a price for this edition yet, so there is no honest saving to put on screen. Tell us your setup below and we will send you a real number rather than an estimate.
What we would fix first
See the platform →How these numbers were calculated
These are estimates, not measurements of your business. Annual cost is your stated software spend plus your stated admin hours valued at ₹250/hour over 4 weeks a month. The revenue gap applies a 18% click share and a 3% conversion rate to a typical search volume and customer value for your industry, then scales it by how much of the maturity score you are missing. Your own figures will differ.
The saving assumes consolidating your tools removes 50% of the manual admin you reported — the re-keying between systems, not the work itself. Someone still books the appointment and answers the client, so this is deliberately not 100%. The licence line is not an estimate: it is your stated spend against our published price.
Where the money goes in a retail brand
- Typical stack
- Shopify apps, Meta lead forms, a billing POS and a separate SMS/WhatsApp tool
- Usual bottleneck
- Cart and enquiry abandonment, with offline and online customer records kept apart
- Revenue most often left on the table
- Repeat purchases and localised store visits