Define and manage AI-configured operating hours and schedules for each store, aligning warehouse operations with store opening hours to ensure optimal productivity and customer service across your entire network.
Assign and prioritize shipping methods per store location with AI automatically applying the right carrier and delivery option based on store capacity, customer preferences, and real-time availability.
Specify exactly which products are stocked and fulfillable at each store location, ensuring customers only see AI-validated availability for their preferred store, eliminating cancelled orders from the start.
RANDEMRETAIL's AI-enhanced WMS digitizes warehouse and store fulfilment operations end-to-end with AI task allocation, real-time visibility, and performance dashboards built in from day one.
It digitizes warehouse operations end-to-end managing inbound and outbound logistics with AI-assisted task allocation, full traceability, and real-time visibility across dedicated warehouses and stores acting as fulfilment centers. The AI layer assigns picking tasks, monitors performance, and surfaces bottlenecks automatically.
RANDEMRETAIL's AI-optimized picking task automation assigns the right task to the right person in real time reducing manual errors and cutting order cycle time by up to 30%. AI-guided put-away ensures stock is always in the right location for fast, accurate retrieval.
Yes. RANDEMRETAIL's open APIs connect seamlessly to 3PL systems and ERP platforms ensuring unified AI-powered operations and consistent inventory visibility regardless of where fulfilment is happening or which external system manages it.
RANDEMRETAIL's AI-enhanced WMS transforms retail store locations into extensions of your warehouse network with AI-optimized operating schedules, product availability rules, and shipping method assignments all configurable per location, scaling from a single boutique to a 50+ store national network.
Real-time AI-powered dashboards track warehouse space utilisation, pick accuracy, and dispatch throughput giving operations managers the AI-driven data needed to identify bottlenecks, improve workflows, and measure performance continuously across every fulfilment location.
How The Bike Shop migrated from BigCommerce to Shopify Plus across 5 locations — without rebuilding a single OMS integration, workflow, or inventory rule.
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Learn why a structured AI methodology matters. RANDEM-ED’s native AI-enabled OMS drives operational efficiency, inventory intelligence, and scalable retail growth.
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Clean data is just the baseline. When RANDEM-ED runs inside your OMS, automation moves faster without API friction. Explore what built-in AI changes.
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Through RANDEM-ED, Big R advanced its retail operations with AI-driven task automation, real-time data visibility, and a significant reduction in daily OMS workload.
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Discover how RANDEMRETAIL’s native Shopify OMS boosts efficiency with inventory intelligence, real-time fulfillment, fast returns, and seamless POS integration.
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