What problem does Scandiweb's platform solve for retailers?

The platform provides real-time stock and shipment visibility combined with exception allocation technology, enabling retailers to detect supply chain disruptions faster and respond with greater agility. Instead of discovering inventory imbalances or shipment delays reactively, retailers can now identify exceptions and reallocate resources (stock, demand, shipments) proactively.

How does exception allocation technology improve supply chain response?

Exception allocation uses rules-based or AI-driven logic to automatically flag inventory anomalies, shipment delays, and demand mismatches. When an exception is triggered, the system recommends or automates allocation decisions—such as rerouting shipments or shifting inventory between locations—reducing manual intervention and decision latency.

What is OperaLayer and why build on it?

OperaLayer is a framework or platform that provides core logistics and inventory orchestration capabilities. By building on it, Scandiweb can focus innovation on the control cockpit and exception logic while leveraging a proven foundation for data integration, connectivity, and rule execution.

Who benefits most from this technology?

Multi-location retailers with complex inventory networks benefit most—especially those managing omnichannel fulfillment (store, warehouse, and direct-to-consumer). The platform is particularly valuable for retailers facing frequent demand swings, carrier variability, or regional supply imbalances.

How does this fit into broader supply chain digitalization trends?

This announcement reflects the industry's migration toward integrated control towers and digital supply chain twins. Retailers are consolidating visibility, planning, and execution tools into unified platforms to reduce silo-based decision-making and accelerate response to disruptions.

Technology & Innovation

Moderate

Scandiweb Launches AI-Powered Stock Control Platform for Retail Resilience

May 31, 2026

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The signal

Scandiweb has unveiled a specialized stock and shipment control platform built on the OperaLayer framework, designed to equip retailers with real-time visibility and exception management capabilities. The announcement reflects a growing market demand for software tools that help retailers navigate increasingly volatile supply chain environments. By combining inventory tracking with exception allocation technology, the platform aims to reduce response times when disruptions occur—a critical capability as retailers face persistent pressures from demand variability, carrier delays, and logistics constraints.

The significance of this launch extends beyond a single vendor's product release. It underscores how European retailers are investing in digital infrastructure to build supply chain resilience, moving away from reactive crisis management toward predictive and preventative approaches. Retailers adopting such platforms can potentially reduce safety stock buffers, improve inventory turns, and maintain service levels despite disruptions—all key financial and operational priorities in a post-pandemic environment.

For supply chain professionals, this development signals an industry shift toward integrated control towers that merge demand planning, inventory optimization, and shipment execution. Organizations that implement such visibility tools earlier may gain competitive advantages in speed-to-response, cost efficiency, and customer service.

#supply-chain-visibility

#inventory-management

#operational-resilience

#retailer-solutions

Frequently Asked Questions

What This Means for Your Supply Chain

Simulation Suggestion

immediate

What if a major carrier experiences a 5-day service disruption to your key distribution routes?

Simulate the impact of a 5-day transportation delay affecting shipments routed through a primary carrier. Model how the exception allocation platform would redirect inventory across alternate distribution centers, assess demand fulfillment risk, and quantify safety stock requirements needed to maintain service levels.

Run this scenario

Simulation Suggestion

this week

What if demand spikes 20% across a region while inventory is stuck in slow-moving SKUs?

Model a sudden 20% demand surge in a specific region coinciding with misaligned inventory composition (high stock of slow-movers, low stock of fast-movers). Test how the exception allocation engine identifies the mismatch, recommends inter-location transfers, and calculates fulfillment rate impact if transfers are delayed.

Run this scenario

Simulation Suggestion

this month

What if you implement dynamic safety stock policies based on real-time exception signals?

Simulate a scenario where the control cockpit's exception detection feeds into a dynamic safety stock algorithm. Model how reducing buffer stock in stable-demand categories while increasing it in high-volatility categories affects both inventory carrying costs and stockout risk, across a 90-day horizon.

Run this scenario

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The signal

Frequently Asked Questions

What This Means for Your Supply Chain

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