Hakuhodo Data Labs Presents eGenie Commerce Intelligence Platform

Hakuhodo Data Labs’ eGenie, a unified commerce intelligence platform, showcased its latest capabilities at NRF 2026 at the Javits Center, positioning the platform at the forefront of a shift that is rapidly redefining retail: agentic-ready commerce.

As commerce becomes increasingly AI-mediated, NRF 2026 highlights a clear industry reality that retail is moving from search-based to agent-based. In this new model, competitive advantage will depend on how quickly brands and retailers can align what they spend, what they show, and what they can fulfil in real time. eGenie’s demonstrations at NRF focused on exactly that challenge: helping teams move from dashboards to orchestration, by connecting media decisions with business-critical signals such as pricing, inventory, and the digital shelf.

At NRF 2026, eGenie demonstrated its industry-first AI Agentic capabilities, with the strongest traction coming from two agent-led use cases: Pricing Agents and Inventory Agents. These capabilities directly address one of the most common performance breakdowns in marketplaces and quick commerce: the intent-to-inventory gap, where ad spend continues to drive demand for SKUs that are mispriced, unavailable, or operationally unserviceable. Conversations at NRF reflected strong demand for systems that can intervene as marketplace conditions shift, rather than rely on manual monitoring after performance drops.

eGenie’s Pricing and Inventory Agents enable such autonomous optimisation by dynamically recalibrating marketplace levers using live commerce signals. This includes reallocating budgets, auto-tuning bids, pausing underperforming SKUs, and amplifying visibility where sales and reviews indicate stronger conversion potential. The result is smarter decision-making across platforms, with reduced manual effort and stronger ROI outcomes, with eGenie reporting up to 20% ROAS lift based on enterprise deployments. 

Beyond the agentic workflows, eGenie showcased its broader unified platform approach, designed to serve as a single source of truth for commerce performance. The platform integrates four core capabilities: Product Information Management (PIM) to automate master data workflows, Digital Shelf Analytics to track visibility and discoverability across marketplaces, Media Automation to simplify cross-platform execution, and Business Monitoring Intelligence to connect fragmented signals into actionable insights. This unified approach is designed to help teams bridge gaps that typically exist across marketing, commerce, supply and operations, particularly in high-frequency retail categories.

Hakuhodo Data Labs noted strong interest from global retailers and distributors who are actively evaluating new models for marketplace growth and operational efficiency, especially as quick commerce accelerates expectations around speed and serviceability.  

Commenting on the showcase, Shweta Sharma, CEO, Hakuhodo Data Labs India and CBO, AdGlobal360, said, “NRF 2026 has been a powerful validation of our vision. While much of the industry is still talking about the potential of AI, eGenie is already delivering it. Our showcase reinforced eGenie’s position as a platform built for the next operating model of retail, where outcomes will increasingly be driven by intelligent, autonomous systems coordinating decisions end-to-end across the commerce funnel. We are inviting brands, distributors, and retailers to move beyond simple tracking and leverage our solution to truly orchestrate their business at the speed of AI."

At NRF 2026, eGenie also previewed innovations aligned with the next wave of AI-mediated commerce where discovery and decision-making will increasingly happen beyond conventional keyword-led search. These include a GEO (Generative Engine Optimisation) Tracker, designed to monitor share of voice within AI agents, a Hyperlocal Inventory API enabling real-time availability signals to prevent media waste where serviceability thresholds are not met, and an Agent-Ready Catalogue capability that helps brands structure product content for inference-led discovery and agent-led recommendation systems. Discussions at NRF 2026 reiterated that the next phase of performance will depend on how effectively organisations can orchestrate multiple levers: visibility, pricing accuracy and availability, in tandem.