Last year a tropical storm choked a Gulf of Mexico shipping lane that feeds Shell’s offshore platforms. Inventory planners faced a grim choice: fly scarce replacement valves by helicopter or risk production stoppages. Using a prototype data pipeline built to stream SAP plant maintenance records into Databricks clusters, they re-ran spare parts forecasts in under an hour and found the cheapest rerouting option—saving days of guesswork and millions in downtime.
This vignette exemplifies a tectonic shift in enterprise data architecture. The SAP-Databricks partnership, amplified by Infocepts’ Decision360 platform, represents more than incremental improvement—it’s a reimagining of how semantic richness and computational velocity converge to enable predictive supply chain analytics.
The statistics paint a stark picture of technological sclerosis. According to a 2024 PwC survey, 69% of operations and supply chain officers report their tech investments have underdelivered on expectations. Nearly half cite data harmonization as their primary innovation impediment. These organizations remain mired in what we might call the ETL era, batch processing, schema drift, and semantic entropy.
Enter Delta Sharing, the protocol underpinning the SAP-Databricks partnership. More than another integration methodology; it’s an ontological shift. SAP systems (S/4HANA, BW/4HANA) now expose their data as Delta tables through an open protocol, enabling Databricks to access SAP’s transactional bedrock in near real-time without the traditional extract-transform-load choreography. The data remains in situ, eliminating both egress costs and the temporal dissonance inherent in replication architectures.
SAP Business Data Cloud (BDC) provides the semantic scaffolding—a knowledge graph that imbues every tuple with business meaning. Material groups, harmonized system codes, incoterms, and supplier risk classifications become first-class citizens in the analytical realm. When Databricks’ computational fabric intersects with this semantic backbone through Unity Catalog governance, the result is a unified namespace where transactional fidelity meets analytical plasticity—unlocking supply chain analytics at scale.
Infocepts‘ Decision360 platform transforms this architectural potential enabled by SAP + Databricks into operational reality. Rather than forcing users to navigate the complexities of lakehouse mechanics, Decision360 provides an intelligence membrane, a sophisticated abstraction layer where agentic AI continuously evaluates the supply chain data landscape, surfacing insights proactively.
The platform’s scenario modeler enables analysts to perform n-dimensional what-if analyses across the entire data corpus. When tariffs shift or suppliers falter, Decision360 doesn’t just alert, it recommends. Its closed-loop analytics ensure that every decision’s impact is measured, creating a learning system that improves with each iteration.
For supply chain professionals, Infocepts crystallized these capabilities into SupplyChain360, a purpose-built solution that transforms complexity into clarity. SupplyChain360 is designed for CFOs, procurement heads, and logistics leaders who must navigate an increasingly turbulent global trade environment using real-time supply chain analytics.
In today’s climate of economic nationalism and trade volatility, the ability to rapidly assess and respond to tariff changes is no longer optional—it’s strategic. Infocepts’ SupplyChain360 rises to this challenge with a powerful Tariff Analytics module designed to deliver actionable insights, not just raw data.
The platform enables organizations to:
- Quantify the financial impact of new duties across their entire product portfolio
- Respond to policy shifts using regulatory-aware optimization algorithms
- Maintain compliance while minimizing cost disruptions
- Identify and prioritize alternative sourcing strategies based on feasibility and financial impact
Consider a multinational manufacturer hit with sudden EU tariff escalations. Traditionally, this would trigger a week-long scramble through spreadsheets and manual scenario planning. With SupplyChain360 built on the SAP-Databricks foundation, that same company can simply ask:
“Which SKUs face margin compression over 5% under the new tariff regime, and what alternative sourcing options preserve our EBITDA targets?”
Instead of spreadsheets, the platform delivers narrative intelligence—clear, actionable guidance in the language of business strategy.
The architectural elegance of SupplyChain360 lies in its seamless integration of SAP Global Trade Services data (harmonized codes, country-of-origin metadata) with external sources like customs databases, regulatory filings, and even trade-related social media sentiment. This comprehensive data fabric is continuously monitored by Infocepts’ AI, which detects early signals of regulatory change.
When such changes emerge, the platform’s scenario engine activates. It goes beyond surface-level impact assessments, tracing ripple effects across bills of materials, substitute components, alternate routes, and foreign exchange exposures. The result: an intuitive, multidimensional optimization space where decision-makers can confidently explore and select the most resilient path forward.
Supply chain analytics is evolving from archaeological data mining to real-time chess, where every move is informed by a panoptic view of the enterprise ecosystem.
Walgreens exemplifies this transformation at scale, processing 40,000 logistics events per second to orchestrate real-time replenishment across 9,000 stores. The marriage of SAP’s transactional integrity with Databricks’ streaming capabilities, orchestrated through platforms like Decision360, enables a level of supply chain responsiveness previously relegated to science fiction.
Williams, the natural gas pipeline operator, demonstrates the economic ramifications: a 40% reduction in data platform costs coupled with the creation of a $6 million data services business. This is value creation through supply chain data monetization, enabled by the semantic richness SAP BDC preserves—even as data traverses the lakehouse.
Combining SAP’s semantic foundation, Databricks’ computational power, and Infocepts’ decisional interface creates a formidable triad—turning complex supply chain data into confident decisions.
The SAP-Databricks partnership, catalyzed by Infocepts’ Decision360 platform, represents a logical synthesis in enterprise data evolution. For supply chain leaders navigating an era of perpetual disruption, this architecture provides decisional sovereignty: the ability to understand, predict, and respond to change faster than the change itself propagates through global networks.
Shell’s spare-parts triumph was just the first glimpse of a new operational paradigm where data latency approaches zero, semantic context travels with every byte, and platforms like SupplyChain360 transform raw information into strategic advantage. As Infocepts continues to evolve Decision360’s capabilities, we’re witnessing the emergence of truly cognitive supply chains.
Ready to Future-proof your Supply Chain? Discover how Infocepts’ Decision360 and SupplyChain360—powered by SAP + Databricks—can help you move from reactive firefighting to predictive precision with enterprise-grade supply chain analytics.
Connect with our experts to schedule a custom demo or explore how anticipatory analytics can give you the decisional edge.
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