Judul : Paytm Trials AI-Driven POS Device for Merchant Insights
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Paytm Trials AI-Driven POS Device for Merchant Insights
Traders in India experimented with the tool, frequently employing it for instant translation.
A retail terminal equipped with an artificial intelligence (AI) system enabling business owners to inquire about their store's performance.—such as their earnings in a specific week or month—is currently being tested by Paytm, according to the Founder and CEO.Vijay Shekhar Sharma.
Delivering his speech during the keynote address at theSingapore FinTech Festival 2025On 14 November, Sharma stated that the device can address operational queries based on data collected from merchants' transactions. "It acts as a Chief Operating Officer, Chief Marketing Officer, and Chief Finance Officer."
The device's pilot in India showed that traders frequently utilized it for instant translation during discussions.
A merchant might say, 'Can you speak to this customer in English and let them know this is the best rate I can offer—25,000, one way or another?' he added.
Sharma mentioned that the payment system has evolved to a stage where data collected from smartphones, point-of-sale devices, and supply-chain networks can now facilitate extensive automation, extending past credit-related functions.
For example, particular insights might one day enable small retailers to automate restocking in the same manner that big chains utilize analytics for managing inventory. "If you run a grocery store and milk is selling fast for different reasons, an automatic supply is now organized to match the demand."
Sharma mentioned that the rising adoption of these tools indicates how AI will play a bigger role in the risk functions of financial institutions, pointing out that automation might alter how companies manage standard risk tasks. "The majority of the process will be automated, but at that stage, both the regulator and the organization will have a designated human involved."
There exists a form of intelligence that surpasses human capabilities — it retains knowledge, acquires new information, and progresses," he stated. "This will necessitate that our regulators adopt this technology, as it aligns with their goal of reducing expenses and increasing availability within the financial system.
Sharma associated this change with the broad adoption of mobile payments, which has generated fresh insights into daily commercial operations, noting that Paytm now serves 44 million merchants in India, allowing financial institutions to evaluate businesses that typically do not have traditional credit records.
"Payments create data, and data lead to underwriting expertise," Sharma stated.
These digital footprints enable the assessment of working-capital requirements by considering "future forward receivables," allowing credit to merchants whose cash flow can be confirmed via online transactions.
"Companies don't require assets—they must be careful about accepting digital payments. If you get digital payments and have a sufficient record, we can assess your upcoming receivables," he said.
In addition, the wider implementation of AI will encourage financial institutions to reconsider how they evaluate, set prices for, and track risk within both small and large businesses.
Systems powered by artificial intelligence will enable organizations to assess smaller borrowers in the same manner as they review larger, more well-established companies, according to Sharma.
Nevertheless, although big companies can implement cutting-edge technology, small enterprises might find it challenging to keep up, and those that fail to adjust face the possibility of being entirely excluded from the business economy.
It's simple for major players to secure large sums; minor players don't receive smaller amounts," Sharma stated. "This can only happen when we are able to gather insights and data.
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