The smart retail market size worldwide is expected to reach USD 58.23 billion by 2025, according to one of the leading reports, progressing at a CAGR of 23.9% from 2018-2025. Retailers are now jumping the AI bandwagon to improve their go to market strategies. Conventional bricks-and-mortar stores are facing intense competition from rapidly expanding e-commerce sector. As per a Gartner study, AI solutions employed by retail companies might autonomously manage as high as 85% of all customer interactions. :

Pricing Optimization
Pricing Optimization
Have the right price, both for the customer and the resellers, to gain a competitive advantage with the help of several
Pricing Optimization

Inventory Planning
Inventory Planning
Using Machine Learning, detect patterns, correlations among the elements in the supply chain.
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Demand Forecasting
Demand Forecasting
By applying ML to market data, product specifications, and sales trends, you predict future sales more accurately.
Demand Forecasting

Logistics Analytics
Logistics Analytics
Know what’s going to sell so you have the right products in each store and online. Merchandise products effectively to maximize appeal.
Logistics Analytics

Increase Customer Wallet Share
Increase Customer Wallet Share
Determine what goes well with what for each customer and product. Present complementary products.
Increase Customer Wallet Share

Sentiment Analysis
Sentiment Analysis
Map customer sentiments by analysing data from online reviews, social media chatter, Call Centre Transcriptions, claims to improve Marketing
Sentiment Analysis

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