The Food & Drink industry is said to be the fourth highest consumer of energy in the UK, according to the Carbon Trust. With the focus on reducing climate change, it is extremely clear that measures are needed to cut back carbon emissions further with cost reduction an added incentive. Unfortunately, it is is an extremely energy intensive industry and many business owners regard energy costs as a static overhead, taking little action to reduce it.
However, adopting an effective energy management system, would improve efficiencies and without doubt, the bottom line. The overall gain could be a reduction in energy expenditure, which can often reach 15% of total operational costs. For businesses in the food and drink sector looking to improve their sustainability and comply with green energy legislation, implementing a strategic energy management system could be something to prioritise, especially to maintain a competitive advantage.
How is energy used in the Food and Drink industry?
Why choose our energy management solution?
- AEMS provides insight into the day-to-day running of your business with daily energy reports so you can identify energy usage and track waste
- Receive industry benchmarking statistics and see how your business is performing compared to other similar ones in the industry.
- The mode detection feature allows you to pinpoint when unusual activity is taking place so you can identify where energy is being used inefficiently
- Using sophisticated machine learning techniques, AEMS learns patterns of behaviour to create tailored insights that are specific to your business.
- Develop Key Performance Indicators against production or industry standards, compare across all sites and identify poor performance.
Customer success stories
Thanks to insights provided by AEMS, an independent butcher was able to identify areas of improvement, and make changes to the production of goods. This meant that the store could produce more goods, in less time, increasing their profit margins, and freeing up staff for other tasks. The mode detection feature of AEMS allowed the store owner to identify key unusual days that saw 30% of unusual activity overnight. Highlighting these days to the manager allowed them to then pinpoint where energy is being used inefficiently and reduce wastage.