The retail industry has withstood a turbulent year and investments made in digital transformation over the years have been key to ride out the difficult times and prepare for the impending recovery and growth phase. There has especially been an uptick in investments in the areas of Data, Voice, and AI as retailers strive towards improving supply chain efficiencies and customer experiences that are built to support the accelerated shift towards hybrid models leveraging online and offline channels.

Data, Voice, and AI are enabling new use cases that are finding varying degrees of adoption across different applications depending on the retail format. While the large department stores have prioritized use cases such as contactless payment, voice-search for products, curb-side pick-up, etc. to drive frictionless transactions; the specialty stores are more focused on building new in-store experiences through initiatives such as virtual trials, personalized product suggestions, etc. Irrespective of their target customer base, retailers are doubling down on building a robust digital infrastructure to drive unlimited scaling across the retail supply chain and store operations as required.

It is imperative for retailers to have new-age technologies such as Data, Voice, and AI at the core of their digital transformation strategies.

Join us as we bring together industry leaders to discuss the evolving use-cases for new-age technologies along with the implementation and scaling challenges.

Key Discussion Areas

  • What have been some of the key technology investments that have been at the forefront for resilience and recovery for the retail industry in the past year?
  • What are the current popular use-cases that are leveraging advancements in voice, data & AI?
  • What are the currently unaddressed pain-points / challenges in retail?
  • What role can new-age technologies like voice, data, and AI play in addressing these challenges?
  • What are the common implementation and scaling challenges in the adoption of new-age technologies? What are the best practices to overcome these challenges?



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