Six months after taking a stake in Predictix, a cloud predictive and prescriptive analytics solution for retailers, business software supplier Infor has bought the business.

Infor invested $25m in a minority stake in Predictix in January, and today (28 June) says the synergies between the two "were greater than we could have hoped."

"Buying out the other Predictix investors makes sense to bring the teams together and provide the scale and resources needed to accelerate the retail revolution," says Infor CEO Charles Phillips.

Predictix solutions use data science and big data analytics to help omnichannel retailers by recommending customer assortments by interpreting, forecasting and shaping demand more precisely.

The Atlanta-based company offers tools for merchandise planning, assortment and category management, demand forecasting, price optimisation and supply chain optimisation.

Its solutions support multiple formats and types of retailing on a global scale, including online, brick-and-mortar, social, mobile, fashion and mass-merchant.

Predictix will become part of Infor CloudSuite Retail, a suite of enterprise applications delivered in the cloud. Its Demand Management tools and CloudSuite Retail will also be integrated with Infor's GT Nexus global commerce platform to improve visibility into a retailer's extended supply chain to manage production, and monitor goods in transit and at rest.

The system will function as a "virtual global control tower" for the retailer, providing best responses to disruptions in the supply chain and recommending responses to minimise stock-outs and other negative consequences of irregularities.

"The past six months of collaboration between Infor and Predictix has delivered innovation at a pace never seen before in retail software, which is crucial as the industry battles disruption," says Molham Aref, CEO of Predictix.

"Becoming part of Infor will further accelerate our retail revolution by providing scale and integrating two teams that sit at the intersection of cloud, analytics, machine learning, and self-service."