How Tech is Supplying SRM and Inventory Management

Real-time supplier collaboration combined with advanced inventory management is transforming the way organisations build and maintain supply chain resilience.

That resilience is being tested more than ever, as global disruptions give procurement operations headaches when it comes to formulating new strategies.

Companies are discovering that deeper supplier relationships combined with intelligent data sharing is one form of defence, helping to improve inventory accuracy while reducing both stockouts and overstock situations.

The foundation of real-time integration

Modern procurement leaders are increasingly recognising that effective inventory management begins with seamless data integration between buyers and suppliers.

Sami Heil, Senior Manager Direct Procurement Strategy at JAGGAER, explains how this integration works in practice.

He says: "JAGGAER One enables proactive inventory management by leveraging historical data, AI-driven analytics and real-time collaboration between buyers and suppliers.

“Through real-time integration with both the buyer's and supplier's ERP systems, the platform ensures synchronised, up-to-date information flow across demand forecasts, stock levels and purchase orders – minimising latency and misalignment."

This synchronisation addresses one of procurement's most persistent challenges: the information lag that leads to costly inventory decisions.

Robert Fuhrmann, Global Lead for Sourcing and Procurement at Accenture, emphasises the importance of unified systems.

"It is important to implement seamless integration between supplier management tools and ERP systems," adds Robert. "This ensures synchronised, accurate supplier data and enables real-time visibility into procurement and inventory activities."

The impact extends beyond data sharing. When suppliers and buyers operate from the same information base, the entire supply chain becomes more responsive to actual demand signals rather than outdated forecasts or assumptions.

AI-powered predictive capabilities

Artificial intelligence is proving instrumental in transforming reactive inventory management into proactive supply chain orchestration.

Sami describes how AI integration delivers measurable results, saying: "JAGGAER integrates advanced AI and machine learning capabilities to deliver real-time, predictive insights across the supply chain.

“These models continuously assess demand signals, supplier risk scores and BOM exposure to identify potential disruptions, enabling procurement teams to act early and mitigate risk."

The practical applications of this technology are becoming increasingly sophisticated. Robert highlights how AI agents are revolutionising decision-making: "Agentic AI and AI-driven architecture are increasingly being used to optimise supply chain operations. 

“For example, Demand Prediction Agents for accurate forecasting, Planning Companions that monitor stock levels in real time and Logistics Optimisers that adjust delivery schedules dynamically.

“These agents automate and optimise decision-making across the supply chain, directly improving inventory accuracy by reducing manual errors and response delays."

These AI-driven systems do not just predict problems; they recommend solutions and, in many cases, implement corrective actions automatically.

Vendor managed inventory: A strategic advantage

One of the most significant developments in supplier collaboration is the evolution of vendor managed inventory (VMI) systems. Modern VMI goes far beyond traditional consignment arrangements, incorporating forecasting and automated replenishment capabilities.

Sami explains the strategic value: "The VMI module plays a pivotal role by dynamically managing inventory — including consignment stock — and using ERP-generated forecast data to automatically trigger replenishment actions. This ensures continuous supply alignment and reduces the risk of both stockouts and overstocking."

This is helping to move the responsibility to suppliers whilst maintaining buyer control over inventory strategy, creating a collaborative model that benefits both parties through improved cash flow and reduced inventory carrying costs.

Take for example J.D. Irving, whose modern-day operations across the US and Canada span agriculture, forestry, shipbuilding and transportation.

It used Aera Technology's tools to receive proactive alerts and recommendations, resulting in quicker rebalancing of inventory. 

Aera Technology's platform enables companies to continuously monitor and respond to supply and demand changes across the chain. By applying real-time analytics to fluctuating customer patterns, manufacturing shifts and warehousing constraints, firms can avoid the financial drain of overstocking or running short.

Georges Tetegan, Corporate Vice President of Business Transformation at J.D. Irving, explains that even the most robust plans are prone to disruption.

"Even with the best planning, you can have changes in manufacturing, warehousing capacity or customer order patterns that require continually rebalancing inventory," he says.

"This demands time and constant attention."

Using Aera's tools, companies like J.D. Irving receive proactive alerts and recommendations, resulting in quicker rebalancing of inventory, avoidance of obsolescence and lower overall costs.

Georges adds: "Using Aera and its decision intelligence capabilities, we can predict issues ahead of time and receive informed recommendations in real-time to optimise inventory management and provide critical oxygen to our teams on the front lines. This enables us to accelerate our business into the future."

With inventory carrying costs accounting for 20% to 30% of total value, these real-time capabilities offer immediate financial impact.

Data accuracy and logistics integration

The accuracy of inbound logistics data has emerged as a critical factor in inventory optimisation. Traditional manual processes for handling delivery notes and advance shipping notifications (ASNs) introduce delays and errors that compound throughout the supply chain.

Sami outlines how modern platforms address these challenges: "JAGGAER One ensures timely and accurate inbound logistics data through end-to-end automation and seamless ERP integration. The platform standardises and automates key supplier interactions — including order confirmations, delivery note submissions and ASN transmissions — significantly reducing processing times and human error."

The benefits extend beyond efficiency gains. When logistics data flows seamlessly into inventory systems, organisations gain the visibility needed for accurate demand planning and supplier performance management.

Coca-Cola Bottlers Japan has formed a strategic partnership with AI software provider o9 Solutions to help to harness its data.

CCBJ is one of the largest Coca-Cola bottlers in Asia by revenue, producing and supplying approximately 90% of Coca-Cola system products in Japan.

o9 Solutions Japan will work to support CCBJI's transformation by enabling data-driven management and maximising the utilisation of data assets. This will facilitate business efficiency, advanced analysis and improved decision-making.

With the implementation of the o9 Digital Brain platform, Coca-Cola Bottlers Japan will have the ability to create supply plans which are more accurate and efficient – while taking into account factors like production and warehouse capacity, material procurement and logistics constraints such as numbers of trucks.

Proven results in practice

The theoretical benefits of enhanced supplier collaboration are being validated through measurable results across various industries.

Robert shares examples of successful implementations: "Global Big-Box Retailer – their e-procurement transformation integrated real-time analytics and supplier collaboration tools, resulting in: Reduced manual errors and procurement cycle times. Improved supplier relationships and more reliable inventory availability."

Another case demonstrates the fashion industry's unique challenges. Robert discussed how a global apparel retailer implemented AI-driven analytics and agile procurement tools to rapidly adjust to fashion trends, minimise both overstock and stockouts, improve cash flow and reduce storage costs."

Perhaps most significantly, strategic supplier rationalisation combined with deeper collaboration yields substantial benefits. Robert highlighted how another global technology manufacturer reduced the strategic supply base from 204 to 47 and built deeper partnerships with the remaining vendors. “This allowed: Just-in-time inventory practices. Sustained cost savings and inventory efficiency," he adds.

Technology considerations

The selection of appropriate technology platforms remains crucial for successful implementation.

Robert identifies key capabilities that procurement teams should prioritise: "Control Towers and Digital Twins to provide: Real-time visibility into inventory, logistics and supplier performance. Predictive analytics that detect shortages, bottlenecks and disruptions. AI-assisted decision-making for sourcing, fulfilment and returns."

These platforms must integrate effectively with existing ERP systems whilst providing the flexibility to adapt to changing business requirements. The most successful implementations combine established platform capabilities with emerging AI technologies to create comprehensive supplier collaboration ecosystems.

As supply chains become increasingly complex and volatile, the integration of supplier collaboration with inventory optimisation represents more than operational improvement—it's becoming essential for competitive advantage. Organisations that master this integration will find themselves better positioned to navigate future disruptions whilst maintaining the lean, efficient operations that modern markets demand.

The technology exists today to transform how procurement teams manage supplier relationships and inventory levels. The question is no longer whether to adopt these approaches, but how quickly organisations can implement them effectively whilst building the internal capabilities needed to maximise their value.