Annie - Intelligent Instore Shopping Assistant
Annie is an intelligent digital in store shopping assistant which offers personal delightful experiences to consumers helping them to find the products they desire and collects rich shopping data that increase your revenues.
Our product Offers:
- In store personalization
- In store customer data collection
- In store customer delight
- Revenue increase
The benefits of using Annie Intelligent Instore Shopping Assistant include:
- Increased customer satisfaction and loyalty
- Improved sales and revenue
- Better understanding of customer behavior
- Better understanding of customer preferences
- Increased efficiency and productivity
- Enhanced shopping experience for customers
The problem that Annie solves
in Retail stores!
- What does a particular consumer wants when she enters the store?
- Where’s the product in the store?
- How do I find new customers from a store?
- How do I increase customer service in a store?
- How do I offer digital shopping experiences in a store ?
- How do i obtain consumer shopping data from stores.
Instore Personalization
Annie's predictive personalization feature uses artificial intelligence and machine learning algorithms to analyze customer behavior, preferences, and purchase history to make relevant product recommendations in real-time.
Key Features of Annie Intelligent Shopping Assistant:
- Predictive personalization using mobiplus connecting through an API
- Interaction through voice, text, and touch on the screen
- Shopping preferences, shopping data and contact information acquisition from customers in store.
- Integration with multiple data sources
User-friendly interface
In store customer shopping data collection.
Annie collects consumers contact information with their permission.
When user connects, Annie collects shopping data such products views, clicks, time spend per product and purchases.
Shopping data are sent back to mobiplus shopping recommendation platform automatically to improve recommendations.
Consumers get recommendations on products that interest them in the future.
Technical Specifications
Annie Intelligent instore Shopping Assistant is connected via the store’s wifi with an API to the mobiplus shopping recommendation platforms as well as the retailer’s eshop and ERP.
It uses Natural Language Processing and Intent. The digital display unit is 1.8m x 0.8m x 0.15m, weighs 4kgr and runs on Android OS.
Instore Personalization Era
Annie intelligent in store shopping assistant offers a personal striking digital experience to consumers helping them to find the products they want .
Interacts with consumers via Speech and Text understands her shopping needs and offers personal product recommendations and product location in store.
It uses mobiplus shopping recommendation platform on the cloud ,with mobiplus seven recommendation engines based on proprietary Machine learning algorithms , retailers shopping data in ERP and e-shop as well as Speech Recognition , understands consumer needs in real time and predicts what she wants to buy next.
The recommendations are shown at In store Display and consumers Smartphone through a browser that opens.
Consumers see personalized product recommendations , promotions ,offers and new arrivals.
If he is a new client (not in the database of the company) Annie recommends products based on mobiplus content based architecture and then after better understanding the consumer goes to user based recommendations.
If he is a client Annie recommends products based on mobiplus user based architecture.
Consumers can talk to Annie while they walk in store through their smartphone.
Consumers connect with Annie by scanning a relevant QR code on the in store display and the store browser opens on consumers Smartphone
When consumer returns to the store Annie recognizes him and initiates the service automatically by opening Annie on his Smartphone and on the screen.
Benefits for the Retailer!
- Increases the conversion rate and revenues of the store through automated digital consumer experience using all products available in store and e-shop.
- Increases revenues in store from higher conversions of new customers!
- Increases revenues in store from the additional shopping Data to better meet the needs of in store and e-shop customers on subsequent visits.
- Increases business revenues by predicting what are the future purchase needs of this customer and bringing him to the store or e-shop to conclude the purchase.
- Increases revenues by acquiring new customers from the store obtaining email from QR code interaction.
- Reduce sales cost in store for sales qualification.
- Increases revenues in store transforming sales personnel to ambassadors.
Download our Free Ebook and Learn
Read our book and learn why instore personalization and shopping data is the name of the game. The book covers:
- What Ipsos survey for consumer expectations say.
- Why physical store is becoming the most significant customer channel.
- The significance of shopping preferences data collected from store.
- How ecommerce and instore shopping data increases your revenue by 30%.
Harness the power of Shopping data from stores!
Download our ebook and learn:
- Why Shopping data is the name of the game
- How shopping data makes retailers succeed in the supply chain
- Why more brands go directly to consumers
- What consumers say about In Store Personalization
Subscribe and learn how you can take your company in the Prediction era with A.I. and increase revenue by 30%!
