Remote working or work from home was an experiment a few years ago. Companies were always apprehensive to allow their employees to work remotely due to a lack of ways to supervise their work. But the impact of the COVID-19 Pandemic has changed everyone’s perception.

As the businesses are struggling for survival, work from home has become a norm, and businesses are enacting policies to allow employees to work remotely. Companies referred to remote work as “displaced work,” as managers struggle to increase employee productivity and efficiency.

This is when Artificial intelligence (AI) has become a boon for companies. With AI, managers are leveraging data power to streamline operations, gain transparency, improve communications, and improve services to solve this problem. As a result, AI Technology helps them gain traction paving a viable way for businesses to embrace the new normal while still meeting their objectives.

Organizations all over the world including ONPASSIVE had to adapt to operating remotely, necessitating technical solutions to keep operations running. Keeping networks secure as employees use remote devices and home Wi-Fi, managing to collaborate on projects, and tracking progress are only a few of the problems that have arisen because of remote working, but AI Technology has been able to assist successful collaboration.

Managers can implement a suite of solutions that increase insight into employee productivity and efficiency, thanks to AI-powered relationship intelligence and CRM tool data automation. Thus, check out five ways how AI can help the company handle an ever-growing mobile Workforce Productivity:

Evaluation:

With AI and machine learning, systems can evaluate and analyse hundreds of mathematical models and outcome possibilities by adjusting to new knowledge, such as new product launches, supply chain disturbances or sudden demand changes. AI Technology may also add efficiencies by taking physical inventory.

Predictive Service:

Companies are now beginning to understand that investment in predictive service solutions is worthwhile, since this is a reliable way to increase operational performance and thus influences the fund almost immediately. Preventive maintenance uses sensors to monitor equipment conditions and analyse information continuously so that companies can service the equipment where they need it, reducing downtime rather than at scheduled service times. Machinery may also be set up to assess its requirements, order its replacement parts and, where necessary, arrange a field technician.

Personalisation:

Innovations in AI Technology and software intelligence allow firms to make goods and services which are incredibly important to individual customers personalised to the next level. This is necessary since customization is sold. 20 per cent of consumers stated in a recent survey that they are willing to pay a premium of 20 percent for individual goods or services. And brands willing to customise products can also create increased trust with their consumers.

Manufacturing process:

At the end of the year, a range of machines with machine learning algorithms run by AI motors are expected to improve autonomously the efficiency of manufacturing processes. For AI systems to be implemented in the “operator substitute” mode, operators use their final decisions in learn how the human mind works. AI will enable us in the future to convert data to information in a vendor-agnostic setting, where all machines speak the same language and improve machine-to-machine production efficiency across the workshop floor.

AI integration:

In addition to the analysis of machinery, everything, including the beginning stages of citation and the supply chain, is documented and criticised. In sourcing, strategic sourcing and cost control, it already integrates AI and Machine Learning algorithm.

Conclusion

With the serious consequences of the coronavirus for businesses around the world, adapting to the ‘current standard’ is much simpler for companies than running a company that uses AI remotely. Around the same time, it can be extremely difficult for remote employees to serve consumers in a crisis. Would you like to take a deep dive into how to move effectively to a WFH model using AI? Contact us.