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Inventory Movement Visibility Dashboard — SAP EWM

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.

WM/EWM
SAP EWMSAP BTPRFCDashboardsInventory Analytics
MJ
Marcus Johnson

SAP EWM Consultant | Warehouse Operations, Optimization, Analytics

Predictive Demand Forecasting Pipeline — SAP PP

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.

PP
PythonTime SeriesSAP PPS/4HANAPlanning Analytics
SR
Sneha Rawat

SAP PP Consultant | Supply Chain Analytics and Forecasting

Sales Quote Intelligence Assistant — SAP SD

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.

SD
SAP SDLLMSAP ODataPricing Analytics
JR
Jordan Rivera

SAP SD Consultant | Order Intelligence, Data Workflows, Automation

S/4HANA Data Lakehouse — End-to-End AI Data Pipeline

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.

Cross-functional
SAP DatasphereDatabricksPythondbtDelta LakeCDS Views
NB
Nidhideep Bhandari

SAP BTP Architect | AI Enablement, Integrations, Enterprise Data

SAP BTP AI Services Enablement Framework

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.

Basis/BTP
SAP BTPSAP AI CoreCAPCloud ConnectorNode.js
NB
Nidhideep Bhandari

SAP BTP Architect | AI Enablement, Integrations, Enterprise Data

Attrition Risk Model — SAP SuccessFactors

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.

SuccessFactors
PythonSAP SuccessFactorsSAP BTPLogistic RegressionSHAP
JR
Jordan Rivera

SAP SD Consultant | Order Intelligence, Data Workflows, Automation

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