The firm faced the dual challenge of protecting clients against increasingly sophisticated cyber threats and optimizing network traffic efficiency for their lighthouse customers. The need for advanced, predictive solutions to detect anomalies and recommend optimal network configurations was critical to maintaining their competitive edge and ensuring client satisfaction.

A leading nationwide retailer embarked on an innovative journey, focusing on enhancing their data-driven strategies. The research and development efforts were spearheaded by a Senior leader, exploring state-of-the-art applications in data science to elevate the shopping experience and operational efficiency.

The retailer aimed to refine its forecasting accuracy and personalize the customer shopping experience. The need to integrate advanced predictive models for better stock management and to develop a dynamic product recommendation system that adapts to customer preferences in real-time was paramount. Additionally, enhancing the internal search engine to improve product discoverability and relevance was crucial.

All enterprise asset management solutions are very complex and require special training and specialized expertise to setup and integrate into an organization. The existing solutions do not provide out of the box integrations with IoT data collection. Implementation time varied from 1-2 years.

A leading University has many departments within the University. These departs include Technology, Engineering, Education, HR, Admissions, etc. Just to name a few. The University’s accounting for each department is a separate logical unit. Each department does financial transactions which involves receiving payments that originally went through the University and had to manually be recorded based on what department the transaction pertained to.

While LoadSys built the original platform for POWD, it was limited to collecting listing fees only. A07 had the vision to create a fully custom seller system where seller’s could manage their listings, but the front-end e-commerce portion would be handled by Shopify, a hosted e-commerce solution. In addition, they wanted to be able to collect a percentage of the sale of the dress and not just a listing fee. Unfortunately the old system would not make that change easy.

Searing manufactures steel tube and pipe. The product is sent to customers with spec sheets. The problem is that too many customers were losing these sheets and would call Searing requesting either a new sheet or the data, which was a manual process.

All Star was taking on new, larger clients that were very demanding and had a large number of food products and brands that they were warehousing. The current software platform they were using was simplistic and manual. Products were entered manually by employees. With 10s of thousands of products across hundreds of brands being entered, this was just not physically possible to maintain.

Engage is a custom software development company that takes on some large and exciting projects, typically in the government sector. Often times they need resources quickly where hiring a new developer or project manager is not cost effective.