Bringing together the Internet of Things, big data, and artificial intelligence for an omnichannel, intelligent new-retail ecosystem
Smart retail uses the Internet of Things, cloud computing, and big data to digitize goods, logistics, and payment, and to run buying, selling, and service with less manual guesswork. Shoppers get the product and the service with higher efficiency and a better visit. Online and in-store sit together, so people, goods, and the place of sale are rebuilt around a more personal, more contextual, and more social way of buying.
The points that hurt most when a conventional retailer moves to new retail
Conventional retail rarely joins the two channels. The visit feels different, the data does not meet, and operations slow down
Without a reliable forecast, shelves run empty or sit on excess stock, and cash turns more slowly
Without a useful read of how people shop, marketing stays broad, and conversion and loyalty stay low
The chain is hard to see, response is slow, and delivery lags, which shoppers notice
Three uses that raise how a retail operation runs
Live stock on the shelf, automatic replenishment alerts, and less manual counting
Gravity sensors, RFID tags, and computer vision watch how many units sit on a shelf, where they are, and how they sell. A pick or a put-back updates stock. When a count falls under the threshold, a replenishment alert goes out. Sales data then suggests a better display and where the fast movers should sit, so turnover and sales rise.
High-precision load sensors watch the count on the shelf as it changes
Computer vision reads the product type and where it sits
Low-stock alerts and replenishment reminders, so an empty facing does not become lost sales
Sales data is used to reset the display and the assortment
A reliable count of who comes in, and how they move, so the store plan can change
Video analytics, face recognition, and Wi-Fi probes count people entering, heat by zone, dwell time, and the path they walk. Age, gender, and expression can be read, VIP shoppers can be recognized, and a shopping path can be followed. The analysis supports layout, recommendations, and campaign planning, so conversion and the visit itself improve.
AI video counts people and reads how they move through the store
Several attributes are recognized so a usable profile can be built
A heat map of the floor is used to reset fixtures and the path through the store
Recommendations and offers follow what a shopper actually does
The chain visible from supplier to shopper, so delivery is faster and satisfaction is higher
IoT devices, blockchain, and AI models make the path from supplier to shopper visible. Location, temperature, and humidity are tracked as goods move. Warehouse layout and delivery routes can be tightened, and demand can be forecast. Inventory across channels sits in one view, with smarter dispatch and exception alerts, so quality and delivery time hold and the chain moves faster.
GPS and IoT sensors follow where a shipment is and what condition it is in
AI shortens routes, cuts delivery cost, and raises throughput
Automated warehouse handling raises pick speed and pick accuracy
Blockchain keeps supply-chain records trustworthy and supports a quality trace
Results retailers see from the smart retail solution
How smart retail is built, and where it is used
Our retail specialists will plan the solution and help you put it into the stores