Brijwasi Sweets — Company Website & Recommendation System
A new company website and an AI product-recommendation system for a food & beverages brand, aimed at larger orders and more repeat customers.
Client: Brijwasi Sweets (India) Pvt. Ltd.
The business need
Brijwasi Sweets (India) Pvt. Ltd. is an established food & beverages brand. It needs a modern website that presents its products well, and a way to show each customer the products they are most likely to want next. In a sweets business, a customer who adds one more box to the order, or who comes back for the next festival, is worth far more than a one-time visit.
What I am building
- A mobile-friendly company website: the brand's main digital storefront for its range.
- A product recommendation system built on the company's own sales and product data, suggesting relevant sweets and products ("customers who bought this also bought…", seasonal and festive picks).
- Clean data foundations in MySQL, so the same data serves the website, the recommendations and management reporting.
- Models built and evaluated in PyTorch, starting from simple, explainable baselines.
How success will be measured
The numbers are agreed before launch, so the result can be judged honestly:
| Measure | What it tells the business |
|---|---|
| Recommendation click-through | Are the suggestions relevant at all? |
| Average order value | Are customers adding more to each order? |
| Repeat orders | Are customers coming back? |
| Comparison group | The same figures for customers who are not shown recommendations |
Status: in development. This case study will be updated with results once the system is live.

Full Stack Data Scientist & Business Systems Developer · Finance background · ML, Automation, Django
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