Digital transformation as a term has been used so widely across industries that it has taken on somewhat of a magical quality. It's not a term everyone likes, as people are still realising the importance of digital transformation, and slowly adapting to new ways of doing business. We've all been there, experimenting for years, taking the longest time to respond to changing consumer habits and competitors' innovations. 
 

The COVID-19 pandemic increased the urgency of achieving digital transformation targets and prompted many organisations, particularly those operating in the renewable energy sector, to accelerate their transformation activities. Rapid changes in consumer behaviour we see all across the industry are not a one-time thing. Developing a more digital-focused, flexible, easily transformable organisational model is more important than ever. But there's good news: with digitisation comes closeness, and an enhanced sense of connection between businesses and their customers. 

Digitisation in the Future of Energy

With the help of digital technologies and trends, energy systems all around the world have become more intelligent, efficient and sustainable. Amazing developments in data, analytics, and networking have allowed organisations to explore new horizons for their business previously not thought of as conceivable. Digitised energy systems are now able to identify who needs energy, when they need it, and where they need it at the lowest costs available. Great, right?

In short? Energy companies are improving their businesses with the help of digital technologies, transforming the industry. 

Our digital solutions for renewable energy companies in Australia have helped them achieve greater sales and seamless customer experiences. So what have we learned so far?

Internet of Energy (IoE)

A technological term, Internet of Energy (IoE) references the upgrades and automations implemented in electricity infrastructures for energy producers and manufacturers. 

The Internet has advanced in such a way that energy consumption patterns can be planned and managed so easily that managers are able to access complete control of energy data. This optimises the process of data analysis and can help reduce the imbalance between renewable energy supply and demand using energy storage and analytics tools.

IoE allows energy production to move forward in a more methodical, cost-efficient, and clean manner to reduce waste. 
 

Automation & AI

Automation and AI are having their moment in the sun, and the energy sector is jumping on board with everyone else. Automation can be implemented for energy businesses in a number of ways.

It can enhance safety protocols through the creation of more accurate, faster responses to critical situations, reducing accidents and ensuring safety compliance. It can also be used for predictive analysis to identify potential risks before they occur. 

Reducing manual efforts through the streamlining of processes and routine tasks like data collection, billing, validation, deliveries, and even customer care and chatbots to improve work efficiency and accuracy, and eliminate or reduce errors or inefficiencies. 

Smart automation processes can contribute immensely to diminishing the costs associated with manual labour, all while increasing accuracy in operations

Cloud Computing

The cloud is having a transformative effect of its own on the energy sector. From the way suppliers are sourcing energy, to how they interact with customers, it's positively affecting all areas. 

For starters, cloud-hosted contact centres are improving customer experiences and engagement. Agents can work from home with just their browser, internet, and headset, making it easier to employ remote workers without needing to consider physical space, meaning a higher number of employees. 

Chatbots can also be implemented to enhance productivity levels for agents, allowing them to put time into the cases that need a greater amount of support. 

Finally, integrating advanced cloud products with connections to AWS databases means businesses can leverage machine learning services like sentiment analysis and speech recognition for improving processes and scripts, feeding everything back into CRM platforms to personalise services for individual customers. 

Digital trends like automation and the inclusion of tools like AI reporting can even provide customers with real-time insights into their current and forecasted energy consumption. 

Let's work together to digitally transform your vision into reality or scale up your existing brand.