Case Study: Leading National Retailer modernizes ordering and pricing with Wavicle Data Solutions

New ordering system uses machine learning to optimize pricing and simplify order process

Leading National Retailer partnered with Wavicle Data Solutions to modernize its outdated, mainframe-based ordering environment. With more than 4,500 independent stores to support, the company was struggling with inaccurate inventory data, a slow multi-step ordering process, limited visibility into competitive pricing, and print catalogs that quickly became obsolete.

Wavicle Data Solutions built a cloud-based order management portal using Amazon S3, Amazon Redshift, Talend, machine learning, and a React JS/.NET web and mobile interface. The new solution improved product search and ordering, enabled competitive pricing insights and historical analysis, streamlined inventory management through POS integration, and eliminated the need to print and ship thousands of outdated catalogs.