Peloran Launches Commerce Intelligence Platform to Turn Real-Time Data into Merchant Decisions

E-commerce has spent years getting better at predicting what customers are likely to do, but the next challenge is deciding what to do about it while the customer is still in the store. That shift is beginning to change the role of e-commerce technology, moving from historical behavior and predefined rules to systems that interpret what is happening now and determine what action makes sense next. Peloran, a new platform developed by Ayosem Ventures LLC, is addressing this gap with a commerce intelligence layer that brings customer behavior, product activity, sales performance, and pricing context into a common decision framework.

Adobe's 2025 retail research found that 45% of retailers were using generative AI for next-best-action recommendations and 46% were using AI to personalize experiences based on real-time customer behavior. Yet 41% said fragmented data was preventing them from delivering real-time personalization. Adobe's 2026 research points to the same tension at a broader level: 56% of organizations identified more personalized customer experiences as a top AI investment goal, while 80% said highly personalized experiences that anticipate customer needs in real time will define breakthrough customer experience over the next two to three years. However, only 44% said their data quality and accessibility were adequate for AI, and 75% identified data integration and quality as a major challenge.

“The industry has spent years getting better at predicting customer behavior,” said Ersan Erturk, founder of Peloran. “The harder question is what to do with that prediction when the customer, the product and the commercial context are changing at the same time.” Peloran's platform generates behavioral intelligence including purchase intent, hesitation, value orientation, discount sensitivity, and customer value, then connects those signals to customer journeys and automated actions. A returning visitor who repeatedly views a product can be treated differently from a first-time visitor arriving through a promotion, and a high-value customer showing hesitation can be handled differently from a price-sensitive shopper.

The move toward real-time decisioning creates a fundamental data problem. Retailers have accumulated customer, product, transaction, marketing, and operational data across systems that were often designed to work independently. Adobe's 2025 research found that 41% of retailers said fragmented data was preventing real-time personalization, while 35% said it was creating inconsistent experiences across channels. Adobe's 2026 research found that only 39% of organizations have a shared customer data platform capable of supporting widespread agentic AI adoption. Peloran is built around that problem, connecting customer, product, sales, and pricing signals before they are used to drive an action.

Peloran connects its intelligence layer to customer journeys and marketing automation, allowing merchants to act across storefront experiences, email, WhatsApp, web push, advertising, and product experiences. For merchants evaluating a marketing automation tool, this creates an approach in which automation can respond to a broader set of customer and commercial signals rather than relying only on predefined triggers. For merchants considering shopify marketing automation, the approach connects automated marketing decisions with the behavioral and commercial signals generated by the store.

Real-time action also creates a measurement challenge. A customer may purchase after receiving an offer, but that does not necessarily mean the offer caused the purchase. Peloran uses exposed and holdout groups to compare outcomes and estimate incremental revenue from interventions. The objective is to distinguish revenue associated with an intervention from revenue that might have occurred without it. As more commerce decisions become automated, measuring incremental impact becomes as important as deciding which action to take.

The broader shift is not from prediction to no prediction. It is from prediction alone to prediction-informed decisioning—systems designed to continuously determine what should happen next. Peloran supports e-commerce platforms including Shopify, BigCommerce, WooCommerce, and Ecwid. The platform is available for hands-on evaluation through Peloran's live demo environment, giving merchants and industry professionals an opportunity to explore the product directly.