Predict what customers will buy next and win! E-shop, in store, At home, Anywhere!
We are in the space of Technology since 1987 with expertise in Enterprise systems with associates coming from Hewlett Packard , Vodafone , Netcompany-Intrasoft e.t.c.
We see that we are going in a new era of commerce where you don’t wait for the customer to reach you, but you predict what she wants to buy next and recommend it.
You recommend it when she is in your e-shop, in store, At home, driving to work, going shopping …everywhere!
Leaders in the technology arena and retail Industry are getting ready for this.
Companies like Google , Amazon , Netflix , Target ,Telenor ,Apple , Wall mart and many others are developing their technology stack and gather a huge amount of consumer shopping data.
Then they predict their customer’s desires, using Artificial Intelligence and Recommendation Engineering and break apart from the competition.
This is how they win!
Your customer today, uses many communication channels, is very active, with limited free time at his disposal. The traditional advertising approach, advertising different products, hoping to catch his attention is made for the previous era.
We are moving from the advertising age to the buying age.
Today your customer searches from his Smartphone 70% of his time, has the option of 24 million eshops to find products and services , looses focus after 15 seconds in the smartphone , remains 2 minutes at your e-shop and sees 8000 ads per day.
Consumers enter your stores and they expect to find the product they want with ease.
They expect a similar digital experience as shopping in your e-shop.
They need product information at their fingertips, if their friends like it , what other consumers think , where it comes from and who made it , where is it in the store.
You should move in the shopping personalization - recommendation era and take your business in the next level!
You need to know when this customer came in store, what product she wanted, which new customer came in store, what product she wanted, and his permission to notify him for products she desires.
If you don’t change your approach, predicting what your customers want to purchase and recommend it, you will be in a vicious circle, increasing your advertising budget, stay out of stack or the opposite, and losing customers.
The world of commerce is rapidly evolving and it's essential to keep up with the latest trends and advancements in technology.
The concept of anticipating customer needs and recommending products or services to them is commonly referred to as predictive analytics.
Predictive analytics is a subset of data analytics that utilizes statistical algorithms and machine learning techniques to analyze historical data and make predictions about future events or behavior.
Our purpose is to help you get there!
Predict what your customers will buy next and win!
E-shop, in store, At home, anywhere!
We are an Innovative company accredited by the Hellenic Government.
Read here Successful customer case studies and take your company into the Personalized Era
Download our Free Ebook and Learn how we predict what your customers will buy next week!
It is well known that human behavior, and in particular consumer behavior, can be predicted. At present computers posses significant computing power and gather huge amount of data from our digital transactions.
As a result, banks, financial institutions, retailers, political campaigns, hospitals, judges, companies and organizations, have been able to predict the behavior of people.
These efforts, helped win clients, elections and battles against various diseases.
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%.
