Big Data & Data Analytics Solution Designed For ForecastRx – USA

ForecastRx uses multiple proven forecasting algorithms to analyze your sales history, identify trends, and recognize seasonality to predict future sales demand. This helps you optimize inventory management and avoid lost sales, while improving stock order performance with actionable reorder quantities.  ForecastRx precisely projects each product’s future demand by importing each product’s historic sales data combined with real-world logistical parameters.

Project Results

– 88% Automation Coverage

– 2X Increase in release speed

– 100% Test automation for the website

Key challenges 

– Lack of in-house engineers with a solid understanding of web development, databases, server-side scripting, and front-end technologies to focus on integrating with large-scale platforms (Amazon, QuickBooks, …) quickly, and save time.

– Needed to handle complex data structures to overcome an ever-increasing amount of data efficiently and effectively and use advanced analytical techniques to perform the forecasting algorithms.

 – Needed to build a user-friendly platform with a transparent and simple UI to provide enough information to users without overwhelming them with unnecessary details.

Our solutions

– ITC offered the “batching processing” technique with the significant dataset from many external resources (Amazon, QuickBooks, CSV) to transform/process data sequentially and save network bandwidth while also keeping the data consistent.

– ITC also provided a development process that pre-processes the necessary database functions/procedures by collecting a large amount of sales history, identifying trends, and recognizing seasonality and holidays to execute the multiple proven forecasting algorithms in near real-time.

Project Details

Project type: Dedicated team

Services: Software development, Consulting service, Testing & QA service, Maintenance service

Industries: Big data management, forecasting and predicting the sales demand based on history, Business Services General, Business Services

Technologies: Angular, Kendo UI, NodeJS, AWS Seller Partner, Marketplace Service, S3 Storage, Amazon FBA & FBM and QuickBooks Desktop