Empower Your Business With The Magic Of Machine Learning!

Seasonality Recognition

A model that takes into account seasonality and past purchase behavior can be a powerful tool for generating recommendations that are relevant to the current time of year. By analyzing the user's past purchase behavior during specific seasons, the model can identify patterns and make predictions about what products the user is likely to be interested in during the current season.

For example, if a user has historically purchased more winter clothing and accessories during the months of November through February, the model can use this information to recommend similar products during the current winter season. Similarly, if a user has historically purchased more swimwear and outdoor gear during the months of May through August, the model can use this information to recommend similar products during the current summer season.

image
image

Increase your customer's satisfaction

By taking into account seasonality and past purchase behavior, this model can help you provide more relevant and timely recommendations to your customers. This can lead to increased sales and customer satisfaction, as the recommendations are more likely to reflect the user's current needs and interests.

Incorporating a seasonality model on top of existing recommendation models can be a powerful tool for generating personalized recommendations that are tailored to the user's past purchase behavior and the current time of year.

Complete e-shop
personalization Benefits:

  1. 30% Higher conversion rate for new customers
  2. 20% Higher Order Value and
  3. 26% more return customers
  4. Increases revenues up to 30%
image
image

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.

Start Free for up to 20k euros in revenue from Recommendations!

 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.

Learn how to take your Company to the Personalized Era

Read articles on how to take your company into the new era with shopping recommendations and artificial intelligence in Retail.

blog image

Revolutionize Your E-Commerce and In store  Experience with Mobiplus Cutting-Edge Technology for Personalized Recommendations”

      And  break away  from competitors ! . Mobiplus Shopping Recommendation Platform boasts a cutting-edge three-tier architecture which revolutionizes  e-commerce ...

Read More
blog image

In store   e-commerce personalization   & customer acquisition by e-tennis !

e-tennis and other leading retailers are transforming   Retail Paradigms through e commerce in store    , Next-Level Customer Acquisition, Virtual...

Read More
blog image

Why e-tennis  &  newcult select mobiplus shopping personalization platform?

Mobiplus recommendation platform enables   e-tennis     & newcult  to move in the next era of shopping by offering new experiences...

Read More
Shape
Shape
Shape
Shape
Shape
Shape
Shape
Shape
Shape
Shape