Summary
An Italian company is offering retailers a non-invasive and easy-to-use solution for the field monitoring, AI-based energy analysis and HVAC (Heating,Ventilation,Air Conditioning) optimisation.
The system unable beneficiaries to monitor the energy usage, reduce wastes and ensure a great customer experience.
The solution is tailor made to the needs of each beneficiary and the offeror will ensure technical assistance for the implementation of the solution, in the frame of a Commercial agreement.
Description
The offeror is an Italian innovative start-up founded in 2017 with high knowhow and technological content born from the synergy between energy managers, electric engineers and IT experts in energy measurements and analysis. They offer tailormade solutions for monitoring energy consumption and analysing the collected data using Artificial Intelligence.
The company has designed a software solution for the monitoring and optimizing power consumption of retail shops without sacrificing customer satisfaction. It transforms the clients’ energy consumption into a competitive advantage, giving more value to the collected data with the goal of
optimizing the electrical and thermal withdrawal levels and reducing the relative operating costs.
The product is part of the Energy Management System suite developed by the Italian company. Alongside the small and big retails shops solution, they have created dedicated solutions for
offices, buildings, production plants and ski resorts. The energy consumption is a current major concern worldwide and the company is trying to use its expertise in relevant sectors of the
industry and trade.
The highlight and uniqueness of the solution is that the KPIs to be analysed are both energy consumption and comfort level of customers to ensure an optimal condition and deliver a
great customer experience.
It is a software solution representing the touchpoint between
the final consumer and the collection of specialized hardware, like smart energy meters.
The product is built upon three main pillars:
• Energy analysis and diagnosis: AI-based algorithms to analyse and optimally configure equipment (HVAC, cogenerators, boilers, refrigerators, chillers) with the final aim to reduce the energy footprint of buildings and plants
• Energy monitoring: monitoring of every device consuming electricity, gas, hot and cold water, compressed air, etc.
• Big Data analysis: Artificial Intelligence engine applied to Big Data able to identify the optimal regulation of every possible energy consuming device.
Temperature, humidity, and CO2 sensors will be installed to enable the final goal of dynamically finding the best settings to maintain optimal levels for customers in the shops. The solution uses a noninvasively system of sensors in the existent plant of shops. Consequently, the installation costs are more restrained.
Thanks to AI, the solution is able to provide retailers an understandable report of the energetic consumption, highlighting the most and less performing device, spotting anomalies. Besides, managers will have at their disposal a WebApp and a Mobile App in which they can monitor, regulate
and configure remotely the building’s parameters in real-time.
The software allows the users to operate directly on the HVAC systems of the retail shops, giving them a great degree of control on the setting of parameters, like the desired temperature and humidity levels. Moreover, the AI analytics included in the platform can automatically configure HVAC to optimize the comfort index (EN 16798) while minimizing the energy needed to reach this goal.
Over the years, the company has work with clients in the retail market, especially in the fashion industry. They are now interested in expending their collaboration, focusing on sectors
like electronics, general stores, sports equipment retailers, pharmacies and retail space renters, addressing the more increasing need of energy use regularisation. The company is willing to support the retail sector in a sustainable and environmentally friendly development, by the use of the agreement with technical assistance.