In today’s dynamic business landscape, maximizing profitability necessitates a strategic approach to cost reduction. Traditional methods often involve working around the existing infrastructure, but the challenge doesn’t just end there. Achieving a truly lean business model requires a deeper dive into efficiency.
This is where AI can help.
Artificial intelligence (AI) presents a transformative solution, empowering businesses to automate tedious processes and optimize workflows. The impact is significant: the increased use of AI in healthcare is expected to reduce costs by $200-360 billion in the US every year. Additionally, the financial services industry has reported cost reductions of up to 10% by implementing machine learning in their operations.
Consider Dropbox, which saved nearly $75 million by leveraging AI to identify usage patterns and optimize their cloud storage infrastructure, leading to significant cost savings. This is an excellent example of the power of AI in cost reduction strategies.
The question that arises now, is what are the best ways to use AI in your business to reduce costs? In this article, we will be exploring 4 ways of leveraging AI for cost reduction for your businesses.
1. Automating Tasks
Up to 75% of the time spent by organisations on repetitive processes can be saved by using workflow automation. By doing away with time-consuming operations that would require employees’ attention, automated workflows can drastically save labour expenses. Employees can now concentrate on more strategically important work as there is less need for additional staff or overtime pay.
For example, Bank of America has developed an AI-powered virtual assistant, Erica, which offers various services like bill payments, fund transfers and account balance checking. This automation has resulted in 32% reduced call centre volumes and increased customer satisfaction.
Let’s take another example. Microsoft Azure Digital Twins is an AI-based energy management system. It analyses data from several sources, such as smart metres and sensors, using machine learning algorithms to find opportunities for cost reduction. Microsoft was able to save $10 million in energy costs and 20% of their energy use by utilising this technology.
2. Innovation Using AI
Several recent advances in AI that are making impacts around the world include:
- A voice-activated cosmetic helper has been introduced by Estée Lauder to help visually impaired individuals do makeup.
- To ease the burden on customer care representatives and help consumers find answers to frequently asked inquiries more quickly, Pentagon Credit Union (PenFed) is implementing conversational AI and chatbots.
- Predictive analytics has also allowed Rolls-Royce to streamline maintenance schedules and utilise AI to increase jet engine efficiency and lower carbon emissions from their aircraft.
3. Efficient Customer Service
Chatbots and virtual assistants with AI capabilities can offer clients round-the-clock assistance by responding to commonly asked questions and fixing simple issues. Call centre workers’ workloads may be lighter as a result, and customers’ experiences may be enhanced.
Let’s consider the example of Kik, H&M’s AI-powered chatbot. It can respond to issues from customers on products, retail locations, and return guidelines. H&M was able to improve customer satisfaction and cut call centre numbers by 70% by utilising Kik.
4. Streamlining Operations for Supply Chain
With the use of industry trends and past sales data, AI can accurately predict consumer demand for products. Business owners can even have real-time access to supply chain operations through AI-based dashboards. This means you can swiftly identify and fix errors.
Companies that have a well-optimised supply network reported a threefold faster cash-to-cash time and 15% lower supply chain costs!
For example, UPS determines the most effective delivery routes using its AI-powered ORION technology. It cuts down on fuel use and delivery times and reduces the distance travelled by millions of miles every year.
Similarly, AstraZeneca uses AI and machine learning models to improve inventory control. It reported a 40% decrease in inventory carrying costs by correctly forecasting fluctuations in demand and optimising inventory levels.
Also Read: 5 Low-Cost AI Strategies for Your Businesses
Conclusion
The transformative potential of AI in business is immense. It can allow you to not only withstand recession worries and global economic slowdowns but also optimise your business model. From automating tasks to identifying inefficiencies and empowering you to make better decisions, the possibilities are endless.
Ready to unlock the power of AI for your business?
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References
- Setting the revenue cycle up for success in automation and AI by McKinsey & Co.
- How AI Can Help Banks Reduce Operational Costs by BizTech
- 12 most popular AI use cases in the enterprise today by CIO
- Highlights: Workflow Automation Statistics by gitnux
- How Business Executives Can Leverage AI to Improve Operational Efficiency and Reduce Costs on LinkedIn
- Estée Lauder applies AI, AR for cosmetics accessibility by CIO
- PenFed to bank on gen AI for hyper-personalization by CIO
- Rolls-Royce turns to digital twins to improve jet engine efficiency
- The State Of Supply Chain Management – Statistics and Trends [Infographic] by Invespcro
- Top 15 Real-Life Use Cases For AI In the Supply Chain Industry by Redress Compliance
- AI-based Supply Chain Optimization To Cut Costs In Pharma on LinkedIn
Hello, I am Nitika, a tech-savvy Content Creator and Marketer. Creativity and learning new things come naturally to me. I have expertise in creating result-driven content strategies. I am well versed in SEO Management, Keyword Operations, Web Content Writing, Communication, Content Strategy, Editing, and Writing.
