Empower Your Business With The Magic Of Machine Learning!
- +30 210 9701777
- Aristotelous 83, Athens 163 43
- contact@mobiplus.co
Empower Your Business With The Magic Of Machine Learning!
Personalization is the central component of the new era where businesses predict what the customer will buy, inform them and bring them to the physical or online store to make the purchase.Personalization increases conversion rate and revenues up to30%.
In store experiences contain in store E commerce and Customer Acquisition. An average store can collect up to 30.000 customer data per year.
Mobplus shopping recommendation platform uses Machine Learning, and the Purchase Data that reside in Undergroundshop to predict what each customer will buy next.
Recommends to each customer the products they want to buy, in real time, automatically and offers unforgettable experiences where customers discover new products effortlessly!
Retail and ecommerce businesses using the mobiplus shopping personalization platform in e-commerce and in-store have:
• 15 to 45% increase in customer conversion rate
• 33% increase in average order value
• 30% more products in the cart.
• 70% more customer data and shopping preferences than stores.
• 33% cost reduction in customer service in stores.
• 16 to 35% more revenue.
See here case study 10.000 euro for your e-shop!
The recommended products are shown in form of carrousels in the eshop and in store.
mobiplus shopping recommendation engine is in the cloud and is connected via API in an easy way to undergroundshop by sleed.
Thousands of businesses internationally are using Machine Learning and Shopping Data and delivering personalized experiences to their customers!
Experiences where customers discover products they want to buy without effort….without search!
Undergroundshop physical l store will be able to increase product line in store , customers will be able to find products that dot not exist in stores from Annie intelligent instore shopping assistant that connects to eshop, will be able to reduce sales time and costs since consumers will be able to find products in Annie without using sales people time.
Undergroundshop will now be able to offer digital experiences to customers where the consumer will be able to have a personal shopping assistant who will be able to help them with their purchases.
Undergroundshop will be able to move to a next-Level customer acquisition by collecting up to 30.000 customers data per year increasing revenues from walking customers and reduction web customers acquisition costs.
Sales personnel in store are a significant asset of the physical shopping experience. They carry however a significant cost.
Annie intelligegent in store shopping assistant can help you reduce sales costs dramatically by offloading sales personnel from easy to answer questions that customers can find answers in your eshop.
They can find products that interest them, get recommendations and then engage sales personnel for deeper information.
Consumers can also find products by themselves in store using annie intelligent in store shopping assistant , get product recommendations , have virtual try ones , talk with your customer service real time with one click and have memorable experiences in store.
Sales personnel can focus on consultative services on clients freed by Annie intelligent in store shopping assistant.
Retail stores that usually have up 3000 products in store can benefit from their e-commerce platform in store that usually has more than 30.000 products and increase sales in stores.
Sales people can present products that do not exist in stores using the eshop and a 1, 8 m x 0,7m LCD screen offering memorable experiences to customers with personalized product recommendations based on customers shopping history.
Even for new customers mobiplus shopping recommendation platform can provide product recommendations based on other customers history (content based recommendation engine)
Even if you don’t have the particular size in store , or the particular color in store using Annie intelligent in store shopping assistant can take the order and delivery next day.
Stores usually have 3.000 customers and more that visit them every month.
This is 30.000 customers a year.
Retailers can tap on this potential by collecting customer and shopping information and remarket them in the web or email lor with messaging apps.
Annie intelligent shopping assistant collects consumer contact information by asking to connect with the platform by scanning a QR code and connecting either with facebook, instagram, Google etc.
Also collects shopping information, which is clicks and purchases that this consumer makes in store enhancing the personalization of the eshop through mobiplus shopping personalization platform.
The eshop in the store is personalized using Artificial intelligence, shopping data from the eshop and store offering personalized experiences to customers and help them discover products they desire.
Retailers can remarket these in store customers in the web as they where shop customers and increase significant the conversion and revenues.
Read our book and learn why instore personalization and shopping data is the name of the game.
Annie Intelligent in store Shopping Assistant is connected via the store’s wifi or LAN with e-tennis eshop and mobiplus shopping recommendation platform.T
The digitaldisplay unit is LCD technology with 49inches touch screen , 1.8m x 0.68m x 0.022m , 45 kgr weight , Android 11 , wi fi , Lan , 4G , speakers , pos handle.
mobiplus member Elevate Greece
Confirmed Innovation.
Test out the Recommendation Engine for up to 20.000 euros in revenue from recommendations. No credit card required. Just enter your company information and we’ll contact you with all the details.
