Retail & E-commerce · Desktop app
Novem
Know what sells, who is leaving, and what to do next.
A desktop app for online store owners. Drop in your sales exports and it shows what is working, which customers are slipping away, and what to do next — all on your own computer.
- Type
- InitCore product
- Industry
- Retail & E-commerce
- Platform
- Windows desktop app
- Year
- 2026
- Our role
- Product design, development, analytics models and the Windows installer
Full walkthrough · 2:49 · captions available
The challenge
Small online stores have plenty of data in exports but no analyst. Built-in reports stop at 'revenue went down', enterprise BI is too expensive, and most analytics services want the customer list on their servers.
What we built
A local-first desktop app with a full import pipeline (detect, map, clean, hash personal data, score quality, merge) and an analytics engine that segments customers, predicts who will stop buying, checks ad spend against stock, forecasts the next 30 days and turns the findings into recommended actions — explained in plain language.
Where it stands
- Loads about 95,000 rows of sales data in around 4 seconds on a normal laptop
What it does
Know what to do next, and what it's worth
Recommended actions ranked by estimated rupee value, with the numbers behind each.
Spot customers about to stop buying
Each customer's chance of buying again, from their own purchase history.
Stop paying for ads you can't fulfil
Campaigns still spending on out-of-stock products, with what each has cost.
Try a change before you make it
Projected revenue for price, volume, acquisition and discount changes, with assumptions shown.
Import a Shopify export in a minute
Columns matched, every row checked, fixes listed before anything is saved.
The whole store on one screen
Revenue, orders, customers and order value against the previous period.
See the next 30 days
Forecasts for revenue, orders, customers and order value with a likely range.
Your customer data stays with you
Runs offline; names and emails are hashed on import; no account.
Part of the E-commerce Suite
Sell online, run every order, and know what to do next.
The E-commerce Suite combines a system like this with InitCore Commerce.
More screens
Click any screenshot to enlarge.
Dashboard — the store's month against the month before, with the daily trend. Import — every row checked, and the fixes listed before anything is saved. Customers — grouped from champions to lost. At-risk customers — each one's chance of buying again. Marketing — ads still running for products that are out of stock. Actions — next steps ranked by what they could be worth. What-if — try a price or acquisition change before making it. Forecast — the next 30 days, with a likely range. Ask — plain-English questions, answered from the store's own data.
Who it's for
- Owners of small and mid-sized online stores (Shopify, WooCommerce, own website)
- Marketplace sellers (Amazon, Flipkart, Meesho exports)
- D2C brands with a marketer but no data analyst
- Agencies preparing monthly reviews for several store clients
What you can do with it
- Monday sales review from a Shopify export
- Checking ad budgets against stock before a festive-season push
- Building a win-back list of customers likely to stop buying
- Testing a price change before making it
- Monthly client reviews for an agency, kept on one laptop
Questions about Novem
Could AI have built this?
AI can draft the screens. It can't sit with the client, get every rule right, launch it and be there when something breaks.
Related work
All work
Want software like Novem?
Tell us what slows your business down. You'll get a free consultation and a written, fixed-price quote — no obligation.