Empower Your Business With The Magic Of Machine Learning!
With this innovative feature, customers entering the store can now engage in natural, conversational interactions with an AI agent to find the perfect products for their needs.
Let’s take the scenario of Lakiotis a leading Retailer in Greece specializing in tiles and bathroom products.
As the customer enters the store, they notice a big screen with Annie Intelligent shopping assistant I demonsatring vaiour products from companies eshop and inviting them to to “Experience Personalized Shopping with Annie.”
He touches a product from the screen and Annie Intelligent instore shopping assistant invites him to scan a QR code to start talking.
Curious, they scan the code with their smartphone and are directed to a sleek interface welcoming them to Annie’s world. (Introduction)
The screen lights up with a warm greeting: “Welcome to Annie Intelligent Instore Shopping Assistant! How can I assist you today?”
Intrigued, the customer responds, “I’m looking for tiles for my kitchen.” (Greeting)
Annie Intelligent instore shopping assistant engages the customer in natural conversation, asking for more details to understand their preferences. “Great! How large is your kitchen, and what color scheme are you aiming for?”
The customer responds, “It’s about 20 square meters, and I prefer a light beige color.” (Natural Conversation)
Annie’s AI processes the information and swiftly retrieves a selection of tile options matching the customer’s criteria from the eshops product cataloque.
On the 49-inch screen, the tiles are displayed in vivid detail, inviting the customer to explore further.
Annie uses mobiplus shopping recommender and displays similar tiles underneath. (Product Recommendations)
Suddenly, the customer remembers a tile they saw on another website and pulls out their smartphone to show Annie.
They upload the image, and Annie’s AI springs into action, analyzing the photo to find similar products in the store’s collection. (Image Upload)
The AI presents a variety of tiles on the screen, including options closely resembling the one in the customer’s photo.
Excited, the customer begins to interact with the screen, swiping through the recommendations and examining each tile up close. (Interactive Exploration)
As the customer delves deeper into the options, Annie’s AI provides helpful details about each tile’s features, pricing, and availability.
Futhermore Annie uses mobiplus shopping recommnder and recommends products that are bought with tiles such Grout, Tile adhesive , tile spacers e.t.c
Armed with this information, the customer feels confident in their decision-making process. (Informed Decision-Making)
After exploring the options, the customer decides to save their favorite tiles and additional products that he needs for future consideration.
They opt to receive a summary of the products and their chat interaction with Annie directly to their email, ensuring they have all the information they need at their fingertips. (Email Summary)
With a sense of satisfaction, the customer thanks Annie for the assistance and heads towards the checkout counter to make their purchase.
They leave the store feeling grateful for the personalized shopping experience. (Grateful Departure)
As the customer exits, Annie’s screen displays a farewell message, inviting them to return anytime for further assistance.
The customer departs with a smile, knowing they can rely on Annie for future shopping needs. (Continued Engagement)
Read our book and learn why instore personalization and shopping data is the name of the game.
mobiplus member Elevate Greece
Confirmed Innovation.
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