Syren’s ATP Achieves 90% Delivery Accuracy for Pharma Giant
Problem Statement
A leading global pharmaceutical company was struggling with a critical supply chain challenge: unreliable delivery timelines.
Even with a robust distribution network intact, the company still encountered numerous issues while providing accurate expected shipping and delivery dates. Customers, including hospitals and distributors, were often left frustrated with delays, especially when stockouts occurred on essential products.
On top of that, the company’s planners faced limited real-time visibility into customer order status and inventory availability. This contributed to inefficient inventory utilization, suboptimal planning, and escalating logistics costs.
ChallengesÂ
- Late shipments and frequent delivery misses
- Huge manual overhead to calculate delivery dates
- Latency in delivery commitments leading to customer dissatisfaction
- Critical stockouts despite available inventory in other warehouses
- Manual, inconsistent order, and promising workflows
Solutions
To address these challenges, Syren deployed its advanced AI-powered supply chain solution, Available-to-Promise (ATP), to enhance delivery accuracy and optimize inventory utilization.​​
End-to-End Available-To-Promise Application
- Deployed an ATP standalone business application capable of handling real-time ATP calculations for global order volumes.
- Integrated existing ERP data via data lake architecture.
Centralized Data Consolidation via Data Lake
- Ingested data from multiple ERP modules (raw material, inventory, orders, supplier, etc) and other systems into a central data lake.
- Unified disparate datasets to provide single-source visibility for ATP calculations.
Data Lake-Driven Architecture
- Syren’s ATP application is designed to work with any ERP or even with non-ERP setups. It ingests structured and semi-structured data into the data lake without disrupting operations.
Forecasting and ML-Driven Insights
Implemented a series of machine learning algorithms to augment data from different modules of ERP for precise ATP calculation.
Inventory Allocation Optimization
- Assessing real-time inventory across global locations, not limited to regional locations.
- Optimally distribute inventory to pending orders based on geography and urgency.
Manufacturing Capacity Forecasting
- Evaluating production capacity across various sites.
- Predicting production timelines based on capacity and demand load.
Replenishment Lead Time Prediction
- Forecasting when raw materials would be available using supplier turnaround times.
- Combining raw material availability with the manufacturing timeline to provide realistic ATP dates.
Interactive Dashboards
Delivered ATP outputs through a user-friendly web dashboard that provided near real time delivery dates, making order confirmation fast and reliable.
Impact
ready-to-use ATP accelerator
Conclusion
With the implementation of the Available-to-Promise solution, the pharma giant transformed its order fulfilment and delivery dates with real-time visibility across all locations. It eliminated the manual delivery date calculations and regional silos by enabling centralized, real-time decision making. As a result, Syren helped the enterprise:
- Commit accurate and precise delivery dates.
- Better allocate global inventory and utilize manufacturing resources efficiently.
- Reduce the need for manual coordination significantly.