Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
This UAE-based conglomerate stands at the forefront of the healthcare, beauty care, prestige products, and fast-moving consumer goods sectors, catering to the evolving demands of the Saudi and Middle Eastern markets. Renowned for its diverse portfolio and commitment to quality, the company plays a pivotal role in enhancing the lifestyle and well-being of its customers across the region.
During peak seasons, the conglomerate faced challenges in maintaining its hallmark efficiency, particularly in meeting the heightened demand for timely deliveries, which put a strain on its OTIF (On-Time In-Full) performance metrics. The underlying reasons for these challenges included:
Complex Supply Chain: Its global operations, involving multiple logistics, retail, and manufacturing segments, presented coordination challenges, affecting the timeliness and completeness of deliveries.
Data Fragmentation: Critical data, essential for effective OTIF tracking, was scattered across various Oracle systems, including Oracle Warehouse Management System (WMS), Oracle E-Business Suite (EBS), and Oracle Transportation Management (OTM).
Forecasting Difficulties: Predicting demand accurately was hindered by the vast scale of operations and market variability, leading to either surplus inventory or shortages.
Logistical Inefficiencies: Varied regulations across regions and the complexity of international logistics further complicated the delivery process, impacting OTIF performance.
They chose Pluto7 for our quick turnaround—achieving results in just 4 weeks. Our expertise in Oracle data transformation and deep knowledge of the Google Cloud landscape stood out. We excel in merging domain expertise with data engineering skills, essential for tackling Oracle system challenges.
Leveraging our experience in solving inventory challenges for other enterprises using Gen AI, AI, and ML, we utilized Google Cloud components and our decision intelligence platform, Planning in a Box, to help them turn OTIF issues into opportunities, optimizing delivery metrics and turning potential losses into gains.
Data Foundation using Google Cloud Cortex
Using the Google Cloud Cortex Framework, we created a data foundation on the customer’s own Google Cloud tenant, which set the stage for solving multiple use cases, starting with OTIF.
Real-Time Data Analytics
We blended internal data with external data to provide real-time data analytics with a Gen AI layer on top, making it possible to query enterprise-wide Oracle data in natural language and receive instant responses.
Process Mining for Spotting Bottlenecks
Through process mining, we mapped the conglomerate’s supply chain in real-time, quickly identifying bottlenecks. This insight led to targeted enhancements, significantly boosting OTIF delivery performance.
Real-Time Warehouse Insights
We’ve enabled instant visibility into warehouse operations, allowing for on-the-spot routing and inventory distribution adjustments. This change means decisions are made with current data, leading to more efficient operations and fewer delays.
Integrated Throughput Analysis
By combining data from various Oracle systems, we enabled the conglomerate to get a clear view of operational flow.
Identifying Delays and Recommendations for Improvement
We’ve pinpointed precise delay sources within the supply chain, providing targeted recommendations for quick fixes. This approach ensures continuous operation improvements, reducing wait times and enhancing overall speed.
The transition to a streamlined, proactive system brought about significant improvements:
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