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Highlighting the Challenges and
Unveiling the Solutions

Advanced system to monitor on-demand items capacity, enabling seamless pre-order capabilities and guaranteeing on-shelf availability during high seasons

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ON-SHELF AVAILABILITY &
IN-STOCK PREDICTION PLATFORM

Objective

The client sought a software solution seamlessly integrated into their intricate company cloud infrastructure, adhering to all policies and standards.
This solution needed to deftly handle vast amounts of data via ETL pipelines, extracting insights.
Aggregating data from granular unit scales to higher-level entities, and segmenting top-tier data for statistical analysis.
Its ultimate aim: to estimate capacity and generate predictive plans for on-shelf availability.

Architecture

(will be available soon)

Technologies

Amazon API Gateway, Cloud Development, Database Architecture, ETL Pipeline, Python, Amazon Athena, Amazon S3, PostgreSQL, Kibana, Analytics Dashboard, SAP Business Workflow, Asynchronous I/O, Terraform, GitLab, DevOps Engineering

Results

As the project neared completion and underwent final User Acceptance Testing, the system had already analyzed data from over 1500 stores spanning various regions, forecasting volumes for forthcoming high-selling seasons. Presently, the system stands robust and continues to be an invaluable asset to the organization.

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