CBS Earns SAP Hack2Build Runner-Up with ADDISSON AI Supply Chain Solution

cbs Corporate Business Solutions earned 1st Runner-Up at the global SAP Hack2Build for Business Data Cloud, the annual SAP partner innovation competition, with ADDISSON, an AI-powered supply chain solution designed to optimize safety stock management within SAP environments. The placement marks CBS’s third consecutive recognition at Hack2Build events, cementing the firm’s standing as one of SAP’s most active AI innovation partners and signaling a broader shift in how SAP partners are deploying agentic AI directly into core supply chain processes.

How ADDISSON Addresses the Safety Stock Optimization Challenge

Safety stock management is one of the most persistent pain points for supply chain operations teams running SAP. Manual processes, disconnected data sources and static reorder models leave organizations carrying excess inventory in some categories while experiencing stockouts in others, a dual cost that directly affects working capital and customer service levels.

ADDISSON was built to solve that problem by applying AI to the safety stock calculation and adjustment process within SAP’s supply chain planning environment. The solution was developed and demonstrated during the SAP Hack2Build for Business Data Cloud, a global partner innovation competition designed to challenge SAP partners to build AI solutions using SAP Business Technology Platform, SAP Joule and SAP Business Data Cloud in a compressed timeframe.

For supply chain and IT leaders evaluating AI-driven planning tools, the evaluation criteria that matter most are native SAP integration depth, the ability to consume real-time operational data without replication to external platforms and the solution’s capacity to surface actionable recommendations through interfaces that both planners and operations teams can use without specialized AI expertise. ADDISSON’s positioning within the SAP Business Data Cloud architecture addresses each of those requirements by treating inventory and demand signals as structured, event-level data rather than periodic batch inputs.

What ADDISSON Signals for SAP AI and Supply Chain Professionals

The broader significance of CBS’s Hack2Build placement extends beyond a single solution. CBS has now placed at three consecutive Hack2Build events, previously winning outright with ADAM, its AI-driven integration monitoring assistant that reduces support effort by up to 50% and delivers approximately 100,000 euros per year in cost savings for customers managing around 500 interfaces. That track record reflects a deliberate CBS strategy of building production-viable AI agents on SAP’s native toolchain rather than standalone third-party platforms.

For enterprise architects and transformation leaders, this pattern carries a practical implication: SAP partners with deep Joule Studio and SAP BTP development experience are producing AI solutions that can be evaluated, piloted and deployed within existing SAP S/4HANA and RISE with SAP contracts, without the integration overhead and security review cycles that external AI platforms require. CBS has also published four real-world AI supply chain use cases demonstrating measurable ROI in SAP processes across automation, analytics and collaboration, giving technology executives a framework for benchmarking ADDISSON against existing investments.

As SAP Business Data Cloud expands the availability of unified, governed enterprise data, supply chain AI solutions like ADDISSON that consume structured operational records rather than summary reports will have a structural performance advantage over tools that rely on periodic data exports or manual input. Organizations running SAP in manufacturing, distribution and retail should assess whether their current safety stock and inventory planning tools are positioned to consume SAP Business Data Cloud data natively as that platform matures.

What This Means for SAPinsiders

Native SAP AI development is outpacing third-party supply chain tool integration. CBS’s consecutive Hack2Build placements demonstrate that partners building directly on SAP BTP and Joule Studio are delivering supply chain AI with faster deployment cycles and lower integration risk than external platform approaches.

Safety stock optimization is an early high-value target for SAP agentic AI. ADDISSON’s focus signals that inventory planning, a function with direct working capital impact, is where SAP partners see the clearest ROI case for deploying AI agents within Business Data Cloud-centric architectures.

SAP Business Data Cloud is playing a crucial role in supply chain innovation. Partners and ISVs that architect solutions to consume SAP Business Data Cloud’s event-level, governed data natively will hold a durable advantage over tools dependent on legacy batch data integration patterns.