Sramana Mitra: We’ve talked about the use case and data signals. When you started, how did you get the data with which to train the model, and what was the seeding of the algorithm? Sivakumar Lakshmanan: We are single-tenant. We don’t train our models on one customer and use them for other customers because of
Sramana Mitra: Is this the use case that you started your company with? Sivakumar Lakshmanan: There are two primary use cases. One is around forecasting and the other is a pricing use case. The pricing use case determines the price at the retail shelf and how to mark down the product. Sramana Mitra: Why don’t
Siva has bootstrapped an AI SaaS company with Services. He shares invaluable insights on accessing data for building AI models and product strategy choices the company has made. Sramana Mitra: Let’s start by having you introduce yourself to our audience as well as to Antuit.