7 Proven Ways to use AI for Improving Your Business Processes

Today, more than before businesses are looking for ways to increase efficiency, streamline processes, reduce cost, and meet the ever- changing market demands. AI is currently driving companies to achieve various business benchmarks during these unprecedented times.

1. Improving meetings

AI can’t eliminate meetings altogether. In fact, the Corona Virus pandemic has shown us how maintaining human connections are vital, even from a distance – which means meetings are definitely here to stay. But AI can at least help to cut down the effort involved before, during, and after meetings.

For example, voice assistants such as Google Duplex can schedule appointments for you. Then there’s Voice’s EVA assistant, which can listen in on your meetings, capture key highlights and actions, and create and share actionable notes afterward. Another tool, called Sonia, does a similar thing but is designed to capture client calls, transcribing the entire conversation, and automatically summarizing key items and actions.

2. Enhancing sales and marketing

Most of the CRM solutions have inbuild AI analytics, thus allowing sales teams to generate valuable insights, automatically. For example, Salesforce’s Einstein AI technology can predict which customers are most likely to generate more revenue, and which are most likely to go elsewhere. Armed with knowledge like this, salespeople can focus their time and energy where it matters most.

Then there is the widespread use of chatbots, which is helping organizations boost sales, drive revenue, and grow their audience. In one example, UK retailer Marks & Spencer added a virtual digital assistant function to its website to help customers solve common issues – a move which has reportedly saved millions of pounds worth of sales, which would otherwise have been lost as unsatisfied customers bounce off the site.

3. Assessing and improving customer service

When it comes to the call center operations, automation is nothing new; simple inquiries have been met with automated menu services for some time. But one tech company says it can help companies automatically judge the quality of human customer service calls. Transcosmos’s AI solution automatically assesses the quality of service given “at speed with human accuracy” and can detect inappropriate and problematic customer service with more than twice the accuracy of a voice recognition system.

4. Improving product development processes

Generative design is a cutting-edge field that uses AI to augment the creative process. With generative design software, you simply input your design goals and other requirements and let the software explore all the possible designs that could fulfill those specifications meaning the generation of multiple designs from a single idea. The software does all the heavy lifting of working out what works and what doesn’t, saving many, many hours of time. Also, you can save the expense of creating prototypes that don’t deliver.

5. Automating the content generation

This article wasn’t written by a robot. But it could have been. Because owing to AI, machines can now generate engaging, informative text to the extent that organizations like Forbes are producing articles with the help of AI.

From writing product descriptions and web copy to industry articles and reports, there’s a range of AI-driven content tools available. For example, e-commerce leader Alibaba has come up with a tool called AI-CopyWriter that is capable of generating more than 20,000 lines of copy in just one second.

6. Enhancing the manufacturing process

The use of robots in manufacturing is well established. But the latest generation of Robotic systems can work with humans and interacting seamlessly (and safely) with the human workforce. This has given rise to the term “cobots” or collaborative robots.

Thanks to AI technologies like machine vision, cobots are aware of the humans around them and can react accordingly – for example, by adjusting their speed or reversing to avoid humans – which means that workflows can be designed to get the best out of both humans and robots. Easy to program, fast to set up, and with an average price tag, cobots are a viable option to help smaller and mid-sized firms compete with larger manufacturers.

7. Refining recruitment

AI and HR may not appear to be an obvious match. However, AI is rapidly being used in various HR processes, including recruitment. For large employers like Unilever, which recruits around 30,000 people a year and handles 1.8 million applications, finding ways to streamline and improve the recruitment process is essential. That’s why Unilever partnered with AI recruitment specialist Pymetrics to create an online platform capable of conducting initial assessments of candidates in their own homes. According to Unilever, around 70,000 person-hours of interviewing and assessing candidates have been cut thanks to this automated screening of candidates.

AI is likely to continue influencing and impacting businesses of all shapes and sizes, across various industry domains and processes.