Retail
Stock | Serve | Sell
Artificial Intelligence is revolutionizing the retail landscape. Captivate customers, create exciting experiences, get insights from various data and empower flexible logistics networks
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Enhance consumer experience
Innovative retailers tap into their pool of customer data about customer activity, behavior, and opinions to improve their customer experience and product offerings.
AIFA helps retailers understand the customer sentiment around their brand and products to improve customer experience across touchpoints.
A.I. gives you the power to tweak services and products, improve personalization and enhance delivery services.
Personalized selling
AIFA’s Smart Recommender Systems captures data about what was purchased to predict users’ interests and recommend product items that are pretty likely interesting for them.
AIFA helps retailers make better decisions about product promotions using data collected about which types of customers are shopping and when.
Retailers compose personalized offers and bundle sales promotions that compel customers to buy.
Match your customers with the right products, in the right place, at the right time.
In-store navigation
Recommenders help consumers manage choice overload by placing the most likeable items together by reducing the consideration set. It can tell you, in an aisle, what items should be bundled together for higher purchases.
Reconsider system can suggest which product the customer will most likely also buy; that way, retailers can pair products together for higher sales output
Demand forecasting and merchandising
Make better demand, pricing, and product decisions to optimize product placement.
AIFA’s Predictive Analysis empowers you with the knowledge to make the right decisions about stocking up to reduce wastage, purchasing costs, shortage costs, and carrying costs.
Dynamic AI-pricing
The dynamic AI-pricing concept revolves around using ML and AI in shopping to determine the best pricing strategy for different products.
Algorithms analyze data from different sources, like historical sales data, competitor price data, stock levels, and special occasions.
Personalized Marketing
Customize its marketing emails consumers’ taste and their past shopping behaviour. Retailers can now predict which items each shopper is likely to run out of based on their past purchases and suggests these items as well
Optimized Stock Levels
A.I. determines the customer demands, inventory cost, warehouse space, and ordering timelines to produce an accurate inventory forecast. The correct amount of inventory is crucial to determine the customer demands, inventory cost, warehouse space, and ordering timelines.
Target marketing
Target marketing means breaking down the entire market into various segments and planning marketing strategies in the business world. AI systems employ clustering algorithms that identify users with similar preferences and help you decide who your audience will be based on existing user behaviour.