Custom Business Software ● In progress

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.

PythonDjangoMySQLPyTorchRecommendation System

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.

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