Challenge

Encountered hurdles in effectively managing data flow within their Supply Chain Management (SCM) platform. The existing methods were inefficient, error-prone, and struggled to handle the different data types for various attributes used in their solution.

Approach

Focused on constructing multiple specialized meta models to refine the data ingestion flow for various data types. By tailoring these meta models, we optimized data processing workflows, ensuring seamless integration and enhanced performance for each unique data category. Through iterative refinement and validation, we fine-tuned the meta models to accurately handle diverse data sources, thereby improving overall data ingestion efficiency and reliability.

Outcome

Yielded remarkable results as the implementation of meta models significantly enhanced backend services in terms of data ingestion.