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Razorpay’s ChatGPT Gambit, Snapchat’s Next Big Quest & More

Razorpay Wants To Put Indian Brands Inside ChatGPT As ChatGPT and other AI assistants move from answering questions to recommending…

Razorpay’s ChatGPT Gambit, Snapchat’s Next Big Quest & More

Razorpay is investing in ChatGPT commerce to help Indian brands establish storefronts within the AI assistant, aiming to facilitate product recommendations and purchases. Partnering with OpenAI and NPCI, the fintech company is working with around 50 brands and several ecommerce marketplaces to create agentic commerce experiences.

Razorpay's technology claims to reduce the time needed to set up a ChatGPT storefront from 10 weeks to approximately 30 minutes. Merchants are drawn to AI commerce as a new way to access customers amid rising digital acquisition costs. However, building a broader commerce infrastructure layer across AI agents and platforms remains a challenge for Razorpay, as it works to determine how it will monetize the service.

While consumers may be comfortable seeking product recommendations from ChatGPT, the idea of handing an AI assistant the power to complete a transaction is still a concern. The company has designed its architecture to keep payment credentials separate from AI models, requiring user consent for transactions. At present, it remains uncertain whether AI commerce will replace traditional ecommerce platforms.

Meanwhile, Snap is expanding its advertising reach beyond Gen Z, seeking to influence purchase decisions by leveraging user opinions and social validation. As Snap grows its India advertiser base, the company focuses on AI, performance advertising, and chat features to deliver stronger conversion rates, efficiency, and return on investment.

In coworking space sector, Awfis' Q1 FY27 profit more than doubled to ₹24 Cr, with revenue growing 27% to ₹424.9 Cr, driven by new centers, seats, and international market demand.

Written by urgent.news from Inc42's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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