New Delhi: Hakuhodo Data Labs’ eGenie, a unified commerce intelligence platform, showcased its latest capabilities at NRF 2026 at the Javits Center, positioning itself at the forefront of a major shift redefining global retail—agentic-ready commerce.
As commerce becomes increasingly AI-mediated, discussions at NRF 2026 underscored a clear industry transition from search-based to agent-based retail models. In this emerging paradigm, competitive advantage hinges on how effectively brands and retailers can align media spend, product visibility, pricing, and fulfilment in real time. eGenie’s live demonstrations focused on addressing this challenge by helping organisations move beyond passive dashboards to active orchestration, connecting media execution directly with pricing, inventory, and digital shelf signals.
At the event, eGenie demonstrated its industry-first AI Agentic capabilities, with strong traction observed across two key agent-led use cases—Pricing Agents and Inventory Agents. These capabilities address a critical pain point in marketplaces and quick commerce environments: the intent-to-inventory gap, where advertising continues to drive demand for SKUs that are mispriced, unavailable, or operationally unserviceable. Conversations at NRF reflected growing demand for systems that can autonomously intervene as marketplace conditions shift, rather than relying on manual monitoring after performance declines.
eGenie’s Pricing and Inventory Agents enable autonomous optimisation by dynamically recalibrating marketplace levers using live commerce signals. These include reallocating budgets, auto-tuning bids, pausing underperforming SKUs, and amplifying visibility where sales velocity and consumer reviews signal stronger conversion potential. According to Hakuhodo Data Labs, enterprise deployments of eGenie have delivered up to a 20% lift in ROAS, driven by reduced manual intervention and improved real-time decision-making.
Beyond agentic workflows, eGenie also highlighted its broader unified commerce platform approach, designed to act as a single source of truth for performance across channels. The platform integrates four core capabilities: Product Information Management (PIM) for automating master data workflows, Digital Shelf Analytics to track visibility and discoverability, Media Automation for cross-platform execution, and Business Monitoring Intelligence to unify fragmented signals into actionable insights. This integrated framework aims to bridge traditional silos between marketing, commerce, supply chain, and operations—particularly critical in high-frequency retail categories.
Hakuhodo Data Labs noted strong interest from global retailers and distributors exploring new operating models for marketplace growth and operational efficiency, especially as quick commerce continues to raise expectations around speed, availability, 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 upcoming innovations aligned with the next phase of AI-mediated commerce, where discovery and decision-making extend beyond traditional keyword-led search. These include a GEO (Generative Engine Optimisation) Tracker to monitor share of voice within AI agents, a Hyperlocal Inventory API enabling real-time availability signals to prevent media waste when serviceability thresholds are unmet, and an Agent-Ready Catalogue designed to structure product content for inference-led discovery and agent-based recommendation systems.
Discussions at NRF 2026 reinforced that future retail performance will depend on how effectively organisations orchestrate visibility, pricing accuracy, and inventory availability in tandem—an operating model eGenie is purpose-built to enable.
