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> Design and development of agents and multi‑agents with generative AI (multichannel). > Generative Agentic AI (multichannel) > Document analysis
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> Process automation + AI > AI‑based document analysis and automation.
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Agentic Commerce Protocol (ACP)
Predictive analytics System for decision making
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RPA‑Robotic Process Automation
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AI use cases

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          Real-Time Shopping Experience Personalization

          Real-Time Shopping Experience Personalization

          The system uses AI agents to identify purchase intent, reconfigure the catalog, and deploy automatic recovery strategies in milliseconds, successfully increasing the conversion rate by 41% and the average cart value by 23% during the first ninety days. Thanks to this technology, the company reduced cart abandonment by 31% and automated its marketing campaigns, treating each visitor as a known customer and maximizing the profitability of its digital traffic.

          Identified Problem

          A department store with a strong e-commerce presence had a problem many would love to have—millions of monthly visits to its digital platform—but a challenge few manage to solve: 94% of those visitors left without buying anything. The platform showed the exact same catalog to everyone, with the same promotions and in the same order, regardless of whether the visitor was a frequent customer, a first-time arrival, or someone who had abandoned a cart three days prior.

          Every customer was treated like a stranger. And strangers rarely buy.

          Solution

          An agentic ecosystem was implemented, acting as a team of intelligent salespeople working in parallel for each visitor simultaneously.

          Recognition Agent: The moment a user enters the platform, this agent builds their intent profile based on their history, current browsing behavior, and demographic segment.

          Content Agent: Reconfigures the order of the catalog, banners, and visible promotions in real-time for that specific user.

          Recovery Agent: Detects abandonment signals and deploys personalized interventions—from a strategic discount to a simple reminder message—at the exact moment the customer is about to leave.

          Everything happens in milliseconds, completely invisibly to the user and entirely autonomously for the marketing team.

          Results

          The conversion rate increased by 41% in the first ninety days. The average cart value grew by 23% thanks to highly accurate complementary product recommendations. The cart abandonment rate dropped by 31%, and the automated recovery campaigns generated a strong return on investment.

          The smartest salesperson a store can have never asks for a vacation.

          Contact one of our AI experts now

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