In Bend, Oregon, between, a nail salon and a pizza chain, stands the world’s last Blockbuster Video store.
Many people find the business nostalgic, bringing back memories of VHS cassettes and monthly movie rentals. However, it serves as a sobering reminder of how swiftly new technologies may upend whole sectors of a business model. Blockbuster went from 9,000 outlets to a single shop in less than 15 years because it couldn’t compete with the speed and convenience of on-demand streaming services.
The rise of companies like Netflix and Uber has reshaped our expectations of how services should be delivered through the power of technology. Even something as basic as going outside to call a taxi suddenly appears ancient. People want to do everything from the comfort of their sofa, whether it’s booking transportation, ordering meals, or downloading movies.
When we interact with service leaders today, the subject is frequently centered on the customer experience. No matter the business, organizations are seeking methods to give better, quicker service. Automation and artificial intelligence (AI) are becoming more important tools for many businesses as a method of increasing the efficiency of their current staff and reducing costs.
Changing the Way We Think About Our Jobs
It is estimated that almost half of the organizations examined by Deloitte are active in automation initiatives, with 24% adopting AI and robots to handle normal activities.
We’ve already begun to observe the effect of automation on the productivity of our labor. From monitoring a network of smart devices to converting thousands of data points into hyper-personalized marketing campaigns, firms are adopting AI to operate smarter and grow quicker. Even if a writer is still drafting the ideal slogan, a computer is selecting when, when, and how you get the message.
Better, Faster, and Efficient Methods of Work
Field service firms are putting a specific focus on leveraging AI to increase efficiency and improve customer experience, which is a good thing for everyone.
The average number of back-office coordinators per four field techs in most firms I’ve dealt with is currently one. Their responsibilities range from the creation of work orders to the tracking down of spare parts and the provision of on-demand on-site assistance. As a labor-intensive and sluggish procedure, it’s worth optimizing. Back office coordinators might assist up to 20 techs with only a little automation.
Automating Workflows to Increase Productivity
When it comes to field service, availability is a critical factor. Even a little improvement in asset uptime has a big impact in a field where every minute of downtime costs money.
Predictive maintenance is a popular choice for many businesses. In place of the conventional break-fix paradigm, where a professional is only deployed when anything goes wrong, artificial intelligence may anticipate issues before they arise.
Imagine two similar skyscrapers, one in Chicago and the other in Los Angeles, both in the middle of the winter. However, even though they’re all made of the same material, these towers are subjected to vastly varied wear and tear.
Predictive maintenance overcomes this issue by employing AI and sensor-equipped equipment to calculate the proper repair plan for each tower, based on real-time device monitoring.
The yearly expenditure on intelligent automation is soaring as businesses increasingly rely on AI to improve operational efficiency. Companies are utilizing intelligent automation to boost productivity and creativity, whether it’s leveraging historical data to anticipate failure or employing natural language understanding to produce more conversational chatbots.
Taking stock of your present business processes and abilities to collect data is essential before deciding on how, where, and when to use AI in your firm. In order to reap the full benefits of intelligent automation, you must overcome outdated software and outdated methods.
Finding The Right Mix For Your Business
Organizations must shift their attention from human ways of producing, allocating, and executing work to automated techniques as consumer expectations for speed and quality of service grow.
6 out of 10 occupations today have more than 30% of their work that might be automated, according to a new McKinsey research report. I feel the figure should be closer to 70% based on my conversations with consumers. When given the correct data and techniques, there are a few tasks a computer can’t perform well.
As everyone knows, automation takes time. Keep in mind the following while looking for strategies to automate your business:
Define roles and priorities: There will always be a need for human labor, no matter how many procedures are automated. They should be allowed to concentrate on areas that need a human touch, such as escalations or customer service.
Iterate, Iterate, Iterate: Inefficient procedures should not be automated, so iterate, iterate, iterate. Automated processes should be constantly monitored and analyzed to ensure that they are effective. If a human back-office coordinator consistently overrides an AI’s advice, the system should investigate why and make changes as necessary.
Even if artificial intelligence (AI) is becoming better at performing human tasks, it isn’t yet ready to take on such responsibilities on its own. When it comes to automating procedures or dealing with escalations, people must still be engaged. Human interaction and AI-driven automation go hand in hand in the most successful enterprises. Cooperative Computing with its decade of experience, helps enterprises align with the upcoming technology. Whether it’s customer engagement or service delivery, our experts will gladly assist you.