Tulip and Google Cloud partner to enhance store performance of retailers. Credit: Tulip, 2018.

Canada-based mobile platform for retail stores Tulip has established a partnership with Google Cloud to enhance store performance of retailers.

The partnership allows retailers to use Google Cloud’s machine learning and analytics to analyse data from Tulip’s in-store mobile applications and gain customer insights and sales opportunities.

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The solution will also offer suggestions to retailers on when to connect with customers and how to engage with them.

Tulip founder and CEO Ali Asaria said: “Tulip is about enabling conversations, connections, and personal friendships between real humans, in this case between store associates and shoppers.

“Every day, Tulip collects millions of data points around omnichannel shopper behaviour.”

“Every day, Tulip collects millions of data points around omnichannel shopper behaviour. By integrating Google’s Machine Learning and Big Data products into our core platform, we’re now able to use that data to provide intelligent insights and recommendations to our end-users.”

In addition, Tulip will use Google BigQuery for in-store retail analytics that will allow the company to identify trends and gain insights related to customer behaviour, associate activity, store operations, and in-store sales.

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Google Cloud Machine Learning Engine will assist the company to create machine learning models and prediction services, which will drive behavioural recommendations for store associates and managers.

Tulip will also focus on application development, management of containers and easy deployment of applications and services by leveraging Google Kubernetes Engine.

Furthermore, Google Cloud Platform will allow Tulip’s retail platform for store associates to access products, manage customer information, and check out shoppers, as well as communicate with clients.