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PhonePe Launches PulsePro Enterprise Intelligence Platform

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PhonePe has launched PulsePro, an enterprise intelligence platform that converts aggregated transaction data into hyperlocal, near real-time market insights for businesses across India. The platform is designed to help companies make data-driven decisions on expansion, distribution strategy, site selection and category growth using signals drawn from PhonePe’s payments network.

Announced on July 30, 2026, PulsePro is powered by PhonePe’s network of over 700 million registered users, more than 50 million merchants, and coverage across 99% of India’s postal codes. The platform provides insights spanning more than 200 store categories and 100 market signals, and builds on the success of PhonePe’s existing open-data platform, PhonePe Pulse, while adding enterprise-grade intelligence layers for paying business customers.

How Does PulsePro Work for Indian Businesses?

PulsePro offers three core solution areas: category and growth intelligence, retail network intelligence, and hyperlocal market analysis. Retail chains, FMCG companies, and quick-commerce operators can use the platform to identify underserved pin codes, benchmark store performance against category trends, and time expansion into new markets using transaction-level demand signals rather than delayed survey data. For a market where digital payments now touch nearly every retail transaction, this transaction-level intelligence gives enterprise customers a granular, near real-time view of consumer demand that was previously unavailable outside a handful of large e-commerce platforms.

What Does This Mean for India’s Retail and Tech Sector?

The launch signals PhonePe’s push to monetise its payments data infrastructure beyond consumer-facing UPI transactions, positioning PulsePro against enterprise analytics offerings from Google, Meta and India’s quick-commerce players. With India’s digital payments volumes continuing to scale, fintech companies with large first-party datasets are increasingly repackaging that data as a B2B intelligence product. Retailers and consumer brands adopting PulsePro gain access to site-selection and demand-forecasting tools without building their own data science teams, potentially accelerating store network expansion into India’s tier-2 and tier-3 cities.

Industry Reaction and Expert Commentary

PhonePe has positioned PulsePro as a natural extension of PhonePe Pulse, the open-data initiative it launched in 2021 that publishes aggregated transaction trends. Company executives said PulsePro builds on that credibility by offering business customers a paid, enterprise-grade version with deeper category and location-level granularity. Analysts tracking India’s fintech sector note that transaction-data monetisation is becoming a meaningful secondary revenue stream for payment platforms as core payment-processing margins remain thin.

What Happens Next?

PhonePe has indicated it will expand PulsePro’s coverage across additional store categories and market signals in the coming months, and plans further enterprise partnerships as adoption grows. Businesses interested in the platform can engage PhonePe’s enterprise sales team for onboarding, with rollout expected to prioritise retail, FMCG and quick-commerce sectors first before extending to other verticals.

Frequently Asked Questions

What is PhonePe PulsePro used for?

PulsePro is an enterprise intelligence platform that turns PhonePe’s aggregated transaction data into real-time market insights, helping businesses make decisions on expansion, distribution and site selection.

How is PulsePro different from PhonePe Pulse?

PhonePe Pulse is a free, open-data platform showing aggregated payment trends, while PulsePro is an enterprise-grade paid product offering deeper, hyperlocal insights across more than 200 store categories for business customers.

Which businesses can benefit most from PulsePro?

Retail chains, FMCG companies and quick-commerce operators stand to benefit most, since the platform helps them identify underserved markets and time network expansion using real transaction-level demand data.

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