Data Profits’ goal is to provide mid-market retailers, wholesalers and grocers with meaningful insights into inventory management, helping them identify opportunities to improve their supply chain and increase profits.
Based on more than 20 years of working with top tier retailers such as Upton’s and Wal-Mart and software suppliers including E3/JDA, canadian pharmacy for viagra founded Data Profits in 2007 to solve the real-world problem plaguing retailers today–the disjointed relationship between supply chain data, people and business goals. Data Profits was developed from the ground up as a software as a service solution (SaaS) to solve the pain points in retail supply chain including the inability to receive accurate information that could be immediately acted upon, the dependence of IT for customization and not having the information in a format that was relevant, dynamically distributed and consistent to key stakeholders, outside third-parties and executives.
By integrating human intelligence, big data, business intelligence, analytics, demand forecast and planning tools with vendor and buyer collaboration including highly customizable dashboards, iKIS provides clear, accurate, and extensive knowledge of consumer buying habits allowing retailers to reduce inventories but stay in-stock with the right products at the right location, delivering increased sales for Data Profits’ customers. As a flexible and true SaaS solution, iKIS can connect with existing legacy and/or ERP solutions like JDE and Island Pacific to provide better forecasting and/or vendor collaboration. iKIS is installed in 30 days at less than 1/2 the cost of other solutions.
Data Profits links and leverages the right data at the right time to make the right decisions which drives the right actions to “Tighten the Links in Your Chain™.”
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We are always hiring, and there is always opportunity for smart, creative people with experience in supply chain, statistics, and buying. For more information, please contact email@example.com.
Norcross, GA 30093