Hanshow said it launched xPilot in collaboration with Microsoft at NRF 2026 APAC, describing the product as an Azure-based assistant designed to help physical retailers convert store data into prioritized tasks and operational workflows.
Hanshow announced the launch of xPilot in collaboration with Microsoft at NRF 2026 APAC, positioning the product as an AI-powered, real-time execution assistant for physical retail stores.
According to Hanshow’s announcement distributed by PR Newswire, xPilot is designed to help retailers turn store-level data into decisions, automated workflows and prioritized tasks for frontline teams. The company described the product as a “one-stop” intelligent execution assistant aimed at improving how retailers respond to operational conditions in stores.
MarketScreener, citing S&P Capital IQ coverage of the same announcement, reported that Hanshow Technology Co., Ltd. and Microsoft Corporation launched xPilot together and highlighted the product’s use of Microsoft Azure, Microsoft Fabric and Microsoft Foundry.
Hanshow said xPilot is based on Microsoft Azure and uses AI capabilities to connect store data, digital-twin representations and task orchestration. The company’s PR Newswire APAC release said the system is intended to support retail execution by combining AI-agent features, digital twins, task management and an open-platform approach.
The company framed the product as a way for retailers to move from analysis to action more quickly. In Hanshow’s description, xPilot can take inputs from store environments and translate them into operational recommendations or tasks, such as work that needs to be assigned to store employees.
MarketScreener’s report added that the product incorporates Microsoft Fabric and Microsoft Foundry, which Microsoft positions as cloud and data platforms for building, managing and deploying data and AI applications. The reports did not provide independent performance benchmarks or customer deployment results for xPilot.
Hanshow’s materials emphasize the challenges of physical retail operations, where pricing, inventory, displays and staff execution often need to be coordinated across large store networks. The company said xPilot is meant to help retailers prioritize work in real time rather than relying only on periodic reports or manual follow-up.
The announcement places xPilot within a broader retail technology trend: using cloud-based data infrastructure and AI systems to coordinate store activity. Hanshow’s release specifically points to digital-twin and task-orchestration features, suggesting the product is intended to model store conditions and then convert those conditions into practical next steps for teams.
Hanshow did not disclose pricing, named retail customers, or detailed rollout timelines in the PR Newswire materials cited. The available sources also do not state whether xPilot is generally available across all markets or being introduced first through selected deployments.
The launch gives Hanshow and Microsoft a new retail-focused AI offering to showcase at NRF 2026 APAC, but the public information currently comes mainly from company announcements and syndicated coverage. Claims about operational impact, efficiency gains or store performance improvements will require evidence from customer case studies, independent evaluations or post-deployment results.
For now, xPilot is best understood as a newly announced Azure-based retail execution assistant that Hanshow says combines AI-agent capabilities, digital twins and workflow automation to help store teams act on operational data more quickly.
According to Hanshow’s announcement distributed by PR Newswire, xPilot is designed to help retailers turn store level data into decisions, automated workflows and prioritized tasks for frontline teams.
The company described the product as a “one stop” intelligent execution assistant aimed at improving how retailers respond to operational conditions in stores.
MarketScreener, citing S&P Capital IQ coverage of the same announcement, reported that Hanshow Technology Co., Ltd.
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