Artificial Intelligence (AI)

Leverage AI on consumer engagement with interactive data collection in Retail experience



Emerging technologies are enabling artificial intelligence (AI) to go beyond automation of routine tasks and address complex business challenges not previously tackled by ‘traditional’ IT and engineering. The challenge is that Artificial Intelligence is not a single capability or technology, that will manifest itself as a single use-case for retailers and brand.

Our AI Services Includes:

  • Insights AI (or) Data Collection
  • Business Speed Up using Bigdata
  • Leveraging to AI on Customer Engagement
  • Deliver the next phase of your digital journey.
  • Revamp your customer engagment.
  • Drive efficiencies by automating decision making process.

Our Services

business intelligence
big data section
block development

Retail - Use Cases

Omni channel shopping Services

In store & online selling efforts will be synchronized to sell more by knowing more about the customer. For instance, the moment a shopper enters a store; the store staff will get information about all the products reviewed by the customer online. This will help the retailers to make better sales pitches better consumer.

Personalized Pages for web shopping users

Consumer purchase history, view history, clicks, understanding consumers social media interactions and impressions are the big data to analyze the buying behavior of a consumer. SrinSoft AI experts develops an Algorithm for Retail companies to showcase customize web pages per individual as per their thoughts and wishes.

Virtual Reality and Augmented Reality

Flexibility to consumers in checking the products without visiting the store and from the place they wish. SrinSoft created an interactive Augmented Reality application to assist consumers to check the size of the kitchen appliances and colors virtually. Flexibility to consumers in checking the products without visiting the store and from the place they.

Product Mix optimization

Retailers with advanced AI algorithms that could correlate environmental variables with product mix were able to stock the right inventory, create better in-store offers and thereby sell more.

Optimizing supply chain management

Prescriptive demand models based on past sales for different products, events, marketing campaigns, seasonality etc. can ensure accurate demand and supply forecasting so that these problems don’t occur.They can ensure optimized logistics and effective utilization of operational funds.

Store Foot Print Optimization

SrinSoft’s AI is being used to figure out what can be the best location for opening a new store. SrinSoft’s algorithms consider historical data like sales, demographics, distance from competitors, nearby events.This decision could be responsible for savings/revenues of several millions (depending on the size and format of the store). These algorithms can provide the key drivers for the new stores success.