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Wednesday, December 17, 2025

Satvacart uses artificial intelligence to power next-gen grocery pricing with Shiv AI

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Satvacart, the Gurugram-based grocery delivery platform, has rolled out an in-house artificial intelligence system named Shiv AI, a patent-pending pricing engine that adjusts product prices and offers in real time based on customer behaviour. The company said the system continuously learns from user sessions, interpreting how shoppers browse and respond to prompts, allowing it to personalise discounts and recommendations instantly.

According to the company, this marks a first in India’s online grocery segment, where most pricing decisions are either static or centrally managed. Shiv AI instead calculates contribution margins for every order as it happens, letting the platform tailor prices and promotions dynamically without manual oversight.

Satvacart, founded in 2014 by Rahul Hari and Deepika Saxena, operates on a scheduled delivery model, positioning itself differently from 10-minute quick commerce players. The company’s format allows customers to book precise delivery slots, including late-night orders, while maintaining operational efficiency and better margins.

The company said its current average order value stands at ₹870, with a contribution margin of around 15%, enabling it to run profitably even without advertising revenue. Satvacart became cash-flow positive in 2020 and continues to prioritise margin-led expansion over aggressive discounting.

To fuel its next phase of growth, Satvacart is in advanced talks to raise USD 10 million from family offices and select venture capital funds. The planned capital will be used to expand operations into Noida and Mumbai, strengthening its footprint across key urban markets.

Co-founder Rahul Hari said the introduction of Shiv AI aligns with Satvacart’s long-term vision to “build a self-learning retail engine that understands value from both the customer and business lens.” Over the next three years, the company aims to double its scale while maintaining profitability across new cities.

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