Explore SAP AI Projects
Search real SAP AI projects by module — all in one place.
Search real SAP AI projects by module — all in one place.
Developed a real-time inventory movement visibility layer on top of SAP EWM goods movement data. The dashboard surfaces bin-level movement frequency, putaway vs. retrieval ratios, and exception queues for blocked storage units. Built using BTP-hosted UI connected to EWM RFC queries, enabling warehouse supervisors to identify bottlenecks without running ABAP reports.
SAP EWM Consultant | Warehouse Operations, Optimization, Analytics
Built a time-series forecasting pipeline to improve SAP MRP inputs for finished goods planning. Features include historical sales order data from SD, production order completion rates from PP, and external demand signals. Forecast outputs are loaded into custom planning tables that feed the MRP controller review process in S/4HANA, reducing over-planning and material buffer overrides.
SAP PP Consultant | Supply Chain Analytics and Forecasting
Designed a quote generation assistant that surfaces historical pricing data and margin benchmarks from SAP SD to support faster quote turnaround. The assistant uses structured inputs from sales reps, retrieves relevant pricing history via OData, and generates a draft quote summary aligned with account-specific discount tiers stored in SD condition records.
SAP SD Consultant | Order Intelligence, Data Workflows, Automation
Led the architecture and implementation of a cross-module data extraction and lakehouse layer for an S/4HANA landscape. Modules covered: FI, CO, MM, SD, and PP. Data is extracted via CDS views and replicated to Databricks Delta Lake using SAP Datasphere. The lakehouse feeds downstream ML models for demand forecasting, margin analysis, and procurement analytics. Established the data governance framework and medallion architecture used by six analytics teams.
Designed and delivered a reusable BTP-based AI integration framework for a multi-system landscape. The framework provides standardised connectors between SAP AI Core, Destination Service, and on-premise S/4HANA systems via Cloud Connector. Includes a shared secret management pattern, API throttling configuration, and a CAP-based service layer that other teams use to deploy models without needing BTP expertise.
Trained a binary classification model to predict 12-month voluntary attrition risk using SuccessFactors Employee Central data: tenure, role changes, performance ratings, compensation bands, and manager spans. Model outputs are loaded into a custom SF Extension Centre tile visible to HR business partners. Privacy-preserving design: no individual scores exposed to line managers.
SAP SD Consultant | Order Intelligence, Data Workflows, Automation
Built a supplier risk dashboard that combines SAP Ariba spend data with external news feed summarisation via an LLM. A nightly pipeline fetches top news for strategic suppliers, runs summarisation and risk classification through the Claude API, and writes risk scores back into a HANA table linked to the Ariba supplier master. Procurement managers see a single risk indicator per supplier without leaving their existing workflow.
Developed a reinforcement learning-based slotting recommendation engine integrated with SAP EWM. The model reads current storage bin assignments, goods movement history, and pick frequency from EWM via RFC and recommends re-slotting actions to minimise travel distance. Recommendations are reviewed by the warehouse manager in a BTP-hosted UI before execution.
SAP EWM Consultant | Warehouse Operations, Optimization, Analytics
Connected SAP PP production order data with IoT sensor readings from the plant floor to train a scrap prediction model. Features include machine temperature cycles, material batch quality scores, and operator shift patterns extracted from PP confirmations. Model outputs a scrap probability per production order, visible in a custom Fiori tile for production supervisors.
SAP PP Consultant | Supply Chain Analytics and Forecasting
Built a risk scoring model that predicts on-time delivery probability for open sales orders in SAP SD. Features include historical delivery performance by ship-to, carrier, route, and seasonal demand patterns. Scores are surfaced in an ABAP Enhancement on the VA03 sales order display and used by the order management team to prioritise escalations.
SAP SD Consultant | Order Intelligence, Data Workflows, Automation
Implemented a document AI pipeline using Azure Form Recognizer integrated with SAP MM invoice processing. Incoming PDF invoices are automatically classified, field-extracted, and mapped to the correct purchase order via OData before posting. Exception handling routes to an ABAP workflow for manual review. Achieved 85% straight-through processing rate on pilot vendor set.
Deployed a time-series forecasting model via SAP AI Core to predict monthly cost center expenditure from CO actuals and budget data. The model runs nightly, writes predictions into a custom HANA table, and surfaces them in a BTP-hosted SAC story for business controllers. Enabled more accurate mid-year reforecast cycles.
SAP S/4HANA Finance Consultant | FI/CO, BTP, Analytics
Built a Python-based anomaly detection pipeline on top of S/4HANA GL data extracted via OData APIs. The model flags unusual journal entry patterns (unexpected account combinations, off-cycle postings, and high-value reversals) and routes alerts to the finance controller team via a Fiori notification tile. Reduced manual month-end review time by roughly 40%.
SAP BTP Architect | AI Enablement, Integrations, Enterprise Data
SAP BTP Architect | AI Enablement, Integrations, Enterprise Data
SAP MM Consultant | Procurement Automation, BTP, Data Pipelines
SAP MM Consultant | Procurement Automation, BTP, Data Pipelines
SAP S/4HANA Finance Consultant | FI/CO, BTP, Analytics