Webinar Explores AI-driven Connected Retail Decision-making

According to Sourcing Journal, Sourcing Journal and Centric Software are hosting an SJ x Centric Software webinar on June 23 titled "Optimizing Retail Decision-making Amid Disruption: Turning Connected Insights into Action." The announcement frames AI as a current, operational capability reshaping assortment planning, demand forecasting and product performance evaluation. The event agenda, per Sourcing Journal, highlights market volatility, tariff shifts, SKU complexity, the need for connected product/pricing/planning data, and the role of market intelligence in assortment and pricing decisions.

Editorial analysis - technical context: The source does not publish model names, system architectures or vendor technical specs for the panel discussion. For practitioners, the themes described typically map to investments in demand-forecasting models, centralized product catalogs and event-driven data pipelines that integrate pricing, inventory and market-intel signals. Implementations that combine these elements often prioritize data quality, model monitoring and explainability to maintain cross-team trust.

Industry context: Retailers face overlapping disruptions that raise both the importance and complexity of decisioning systems. Public coverage frames the combination of AI-driven forecasting and connected data as a way to shorten decision cycles and improve margin recovery; comparable initiatives in the sector often surface challenges around SKU proliferation, SKU-level forecasting accuracy and supplier/tariff signal integration.

Indicators an observer could follow after the webinar include whether panelists cite concrete vendor tools or integration patterns, any shared metrics for inventory or margin improvement, and use cases for market-intelligence feeds in pricing. Sourcing Journal has not published verbatim panel remarks in the announcement; attendees or post-event coverage would be the next source for implementation-level detail.