Palash Bharadwaj

How retailers can use AI to stay ahead of the Curve

Retailers can use Google Cloud AI applications for their business and industry through two distinct use-cases: Driving sales with optimized recommendation systems – Retailers can use intelligent recommendation algorithms to drive sales using personalized customer search recommendations on their homepage and mobile app Google Cloud AI to support variable sales/traffic volumes – Retailers can use Google …

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Google-Cloud-AI

Creating loyalty and reducing churn by implementing Customer Analytics

Today, customer loyalty has become a major focus for all the brands. It’s more about offering customers something as personalized as possible so that they feel truly special. In the present globalized world, the competition is high, and customers have a variety of options available. In such a scenario, the customer experience becomes a huge differentiator. …

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Creating loyalty and reducing churn by implementing Customer Analytics

A path forward: Customizing the Customer Experience through Data Mining

Consumer data comes to retailers from many sources—its app ecosystem, enterprise data, and data from its supply chain. Generating and harnessing this data can be a great boon to companies with their global omnichannel marketing strategies and capabilities. However, when companies turn to analyzing this data and forming actionable conclusions, they sometimes fail in extracting useful …

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A path forward Customizing the Customer Experience through Data Mining

Using Digital Twin Capability to Improve Retail Supply Chain Transparency

Digital twins - Bridging the physical and digital. This twin would enable one to collaborate virtually, intake sensor data and simulate conditions quickly, understand what-if scenarios clearly, predict results more accurately, and output instructions to manipulate the physical world. Digital twins can simulate any aspect of a physical object or process. Digital twin capabilities are not …

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Digital Twin Capability