Retail Tech Insights: Specials Magazine

What role do demand forecasts play in guiding retail inventory and financial decisions? In retail, AI only matters when it drives measurable business value. In practice, that value is realized through demand forecasts that guide inventory investment, placement decisions and the protection of margins, service levels and working capital. That operating philosophy shapes Zebra Technologies’ Workcloud Demand Intelligence Suite. Built on capabilities originally developed by Antuit.ai, acquired by Zebra in 2021 and now fully integrated within its portfolio, the suite is designed to convert complex demand signals into unified, value-driven inventory decisions. Purpose-built for retail and CPG environments, the suite converts predictive intelligence into aligned planning actions across demand planning, pricing, and replenishment to drive more profitable business outcomes. Isolated forecasts across departments often create friction and delay. Most retail organizations still operate with multiple forecasts. When teams work from disconnected assumptions, reconciliation slows execution, and inventory decisions drift. Workcloud Demand Intelligence Suite establishes a single forward view that aligns teams on growth expectations, seasonality and variability. Execution improves because decisions are made from the same baseline, strengthening product availability while protecting working capital. Applying AI to Retail Complexity How does AI address complexity in retail demand forecasting across multiple products and channels? Retailers today face the growing challenge of ensuring the right inventory is available when customers want it. In an omnichannel environment, a missing shelf item often becomes an immediate lost sale because shoppers can simply order it online, frequently from a competitor. At the same time, rising costs are forcing retailers to be far more deliberate about where and how much inventory they invest. These pressures make accurate demand forecasting and inventory placement more critical and more complex than ever. Workcloud Demand Intelligence Suite applies AI and ML to separate meaningful demand signals from background noise across products and locations. Retail assortments often include thousands of SKUs, many with intermittent or low-volume demand patterns that remain strategically significant. This long-tail demand structure creates sparse datasets that traditional forecasting models often struggle to interpret accurately.

What limitations in traditional e-commerce platforms restrict handling of freight shipping processes? Eniture integrates Less-Than-Truckload (LTL) freight capabilities into e-commerce platforms, enabling merchants to sell and ship large products online. Its shipping applications allow merchants to generate accurate freight shipping quotes and manage delivery for oversized products such as industrial equipment and farm implements directly within the checkout experience. E-commerce platforms were built for parcel shipping. Eniture introduced LTL freight into that environment, enabling real-time freight quoting and eliminating separate offline processes. How do Eniture’s applications enable real-time freight quoting within online checkout environments? Eniture’s shipping applications work as plug-ins that connect an online store’s checkout to freight carrier systems through APIs. Once installed, the merchant configures shipment parameters within the store. When a customer places an order, the system gathers shipment details such as weight, dimensions and destination, queries carrier systems in real time through APIs and returns accurate LTL shipping rates within the checkout, allowing the customer to select shipping and complete the purchase. Over time, Eniture expanded its shipping applications across several e-commerce platforms. It began with WooCommerce and Shopify, later added BigCommerce and Magento and is now developing for Wix. These applications are designed to operate directly within each platform's checkout environment..