Success cases

Companies that have trusted Serenity Star

Find out how great companies are successfully achieving their goals using our Serenity Star tool.

GLOBAL FARM

Challenge: At Global Farm, the large amount of specific data prevented accurate decisions from being made to reduce the destruction of medicines., which will lead to a reduction in costs.

Solution: An AI expert was implemented in their ERP (Falcon) that was trained with all the data and with the use of Serenity Star’s AI technology. The expert guided the employees allowing them to optimize medications to the maximum and therefore reduce costs.

RESULTS
95% less drug destruction
1M€ annual savings

TOMORROW FOODS

Challenge: Improvement and optimization of the vegetable meat creation process. Need to predict what type of vegetables would perform best based on real-time and historical data.

Solution: The Serenity Star AI was fed with historical and real-time data on vegetable protein production. An AI agent was created to serve employees, providing advice and prediction on the types of vegetables, structure and interventions that would best achieve the best performance in vegetable protein production.

RESULTS
Tomorrow Foods recovered its investment
in the first 9 months

MAHOU SAN MIGUEL

Challenge: Mahou had a very low participation rate in promotions, the challenge was to increase the engagement and participation rate of customers in their promotions.

Solution: The project was divided into two phases to achieve our objective:

First phase: Algorithm 1 to segment the databases.
Second phase: Algorithm 2 makes a study of previous promotions to segment these databases into time slots.

RESULTS
Increased participation
from 0.2% in 2021 to 6.45TP3T in 2023

HOTELES POSEIDÓN

Challenge: Seek thermal comfort and take advantage of thermal synergies to optimize energy use.

Solution: Together with the company Amper, they developed a system to digitalize the hotel’s energy from the solar panels, boilers, air conditioners, lighting, etc.

A building management system was created to send data to the cloud and accumulate information to automate the switching on and off of all energy systems at the right times to keep the customer comfortable while saving energy.

RESULTS
Increased energy savings by 25%
and a 32% thermal comfort

COMERZZIA

Challenge: Analyze every detail of the sales of customers using Comerzzia in order to provide key information to increase sales. In addition, be able to predict sales based on historical data and optimize the use of coupons.

Solution: Implement 3 Artificial Intelligence agents to analyze system information and make better decisions, predict sales trends based on data and help optimize coupons to increase sales.

RESULTS
Increased sales and optimization
in the use of coupons