Case studies

Vishal Retail handles 62,000 customer complaints a month in Nagpur. Each one has to be classified into one of eight categories, summarised, and routed to the right team. Three AI vendors have demonstrated; procurement has recommended the one with the lowest quote.

An analyst at Tarang Beverages typed nine words into an AI assistant: "Create a campaign for our new drink." What came back was polished, confident, and wrong in seven separate ways - and it was two days from launch.

Six in the evening. The board pack is due at ten tomorrow. An analyst asks an AI assistant for the key market growth figure and gets a clean, specific, quotable sentence: the Indian premium snack market grew 28% last year.

A monthly sales file is uploaded to an AI analyst. Eleven seconds later it reports that the South region grew 62% and recommends shifting budget and inventory there. Two days later finance finds a Rs.5.45 crore variance against the general ledger.

A consumer electronics distributor across five regions. The AI-built sales dashboard says revenue is up 12%, every regional bar is the same reassuring blue, and the commentary recommends expanding inventory in growth markets.

An interactive, self-contained case for BBA students

Kalyani Stores is a three-branch grocery chain in Pune with 787 loyalty members. Marketing has three offers for the festive quarter and Rs.90,000.

Suvidha Mobile is a regional postpaid network in Pune with 4,195 subscribers. About 13% will stop using their line in the next 60 days. The retention team can make 400 calls a month. Which 400?

Prayag Infotech has 1,400 employees who ask the HR helpdesk 2,800 policy questions a month. An assistant is built to answer them from the company's own documents. The studio walks a student from a fluent invented answer to a system that gets 95% of its behaviour right - and it does that with no change to the model, no additional data and no retraining.

Trikon Industries, a manufacturer in Coimbatore, receives 4,200 supplier invoices a month. A document AI reads each one, extracts six fields, matches them against the approved purchase order and the goods receipt, and routes the result. A person approves the payment and handles the exceptions.

An online retailer's AI customer-service assistant is ready to launch. The team has demonstrated it answering thirty questions perfectly. A red-teamer is given two weeks, a staging environment and a written set of rules.

Two hundred synthetic applications for a sales trainee role. An AI system ranks them in minutes using three years of past hiring data. The dashboard reports 85% faster, 200 of 200 ranked, top 20 ready.

Twelve pilot stores, twelve matched comparison stores, three months. An AI system forecasts demand and proposes purchase orders; planners review and approve. Now somebody has to say what it was worth.

A customer support outsourcer. An AI assistant drafts replies to customer emails. In the lab it drafts in 8 seconds and scores 92% on a 200-item internal test set. Leadership approves a company-wide rollout.