From CSV Exports Per Marketplace to a SaaS That Combines All the Data
An illustration of an analytics SaaS product for brands selling on many marketplaces/channels that need one combined performance dashboard.
This is an illustrative concept, not a real client project — the data and results shown are examples to demonstrate what we can build.
Selling on many marketplaces. The data is still exported as CSV one by one.
When every brand sells on several different marketplaces/channels, it's difficult to build a single product that many brands can subscribe to with a consistent way of combining data.
| Brand | Active Channels | Integration Status |
|---|---|---|
| Brand Alpha | 4 | Automated |
| Brand Beta | 2 | Manual CSV |
| Brand Gamma | 5 | Automated |
| Brand Delta | 3 | Partially Manual |
It's not a lack of sales channels. It's that the data never meets in one place.
Data per marketplace is separate
Every channel has its own dashboard, hard to see as one business picture.
Manual CSV export for every report
The team has to export and combine data manually every time they want to see combined performance.
Hard to scale to other brands
Adding a new brand means rebuilding the data-combining flow from scratch.
One product, subscribed to by many brands at once.
Each brand gets its own workspace (multi-tenant), but runs on the same underlying system.
Brand Signs Up
A new brand signs up and gets its own workspace (tenant).
Connect Channels
The brand connects its sales marketplaces/channels to the system.
Data Sync
Sales data from all channels is pulled and combined automatically.
Performance Dashboard
The brand sees combined cross-channel performance in one dashboard.
New Brand
Other brands can onboard through the same process.
Example: a SaaS with 10 subscribing brands.
An illustrative scenario based on common patterns among small-to-medium e-commerce brands selling on many channels. The figures below are examples to illustrate the system, not a claim of client results.
Multi-tenant SaaS for cross-channel e-commerce analytics
10 independent brands want the same analytics dashboard, but their data must stay separate between brands. Each sells on a different combination of marketplaces.
- How does each brand's data stay separate and secure?
- How can a new brand connect channels quickly?
- How is cross-channel performance combined automatically?
Illustrated automation architecture
EXCEPTION → a channel fails to sync → automatic notification sent to the brand & support team
- 10
- Example Brands
- 1
- Codebase
- 0
- Manual CSV Exports
subscribing on one platform
used by all brands (multi-tenant)
for already-integrated brands
The key change is how these brands see cross-channel performance.
Before / CSV per channel
- Each brand exports data manually per channel
- Data combined manually in Excel
- New brand onboarding built from scratch
- Hard to see cross-channel performance in real time
- Integration updates rolled out one at a time
After / one multi-tenant SaaS
- All brands use the same system
- Channel data synced automatically
- New brands onboard within days
- Cross-channel performance visible in real time
- Integration updates apply automatically to all brands
Not just a numbers dashboard.
This product can be developed gradually as more brands join.
Multi-tenant platform
One product usable by many brands with data kept securely separate.
Multi-channel integration
Sales data from various marketplaces pulled and combined automatically.
Combined performance dashboard
Brands can see cross-channel performance in one real-time view.
From CSV per channel to one SaaS, step by step.
- 01DISCOVERY
Map cross-brand needs
Identify commonly used channels and how data is combined as the product baseline.
- 02FOUNDATION
Build the multi-tenant architecture
A data structure that keeps each brand securely separate within one system.
- 03INTEGRATION
Build channel integration
Automatic data connection from commonly used marketplaces/channels.
- 04DASHBOARD
Build the combined performance dashboard
Cross-channel data combined automatically into one dashboard.
- 05OPTIONAL
Add further layers
If needed, cross-channel stock/price optimization recommendations can be added.