Intelligence Node is a real-time retail price intelligence platform that empowers businesses to drive product level profitability and grow margins using data-driven competitive insights. It has created the world’s largest pricing dataset with unmatched accuracy, powered by proprietary AI-driven algorithms packaged in an intuitive and beautiful user interface.
It is competitive intelligence and price optimization simplified. Intelligence Node maps more than 1 billion unique products across 190,000 brands for more than 1,400 categories across 29 languages every minute – the dataset feeding the growth of more than $600 billion in retail revenue globally. It is the platform of choice for hundreds of retailers and brands worldwide, including category leaders like Jockey, Unilever, Macy’s, Li & Fung, GFG, Tesco, Reliance, Landmark, and many others.
Sanjeev Sularia, serial entrepreneur and technology evangelist. He is currently the CEO & Co-Founder of Intelligence Node, a big data lab leveraging machine and deep learning to help the retail industry with pricing and merchandise optimization globally.
Sanjeev started the retail intelligence company in 2012 as a small startup with a mission to empower retailers to grow in the Age of Amazon using data-driven competitive insights. Fast forward eight years later, and Intelligence Node has built the world’s largest retail product database, which feeds the growth of more than $600 billion in retail revenue globally.
Sanjeev Sularia joins me on Tech Talks Daily to discuss how the global pandemic has created a permanent shift in the consumer shopping experience. The strategies retailers should implement to adapt to this new reality, and his predictions for what retail will look like in 2020 – and beyond.
We also explore the key findings from the Intelligence Node’s consumer survey, which reveals that consumers are eager to shop, but more cautious about how they spend their money this holiday season. We also talk about how convenience and selection stores paved the way for pricing optimization; and why other retailers should follow suit.
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