As Artificial Intelligence (AI) technology becomes more commonplace in the business world, more and more leaders are realizing the practicality of using it to support their company operations. There are lots of ways that AI can be advantageous for all sorts of businesses, and according to reports, current AI adopters are most commonly using the technology for various marketing and sales strategies. Many are using AI these days for lead generation, customer service, and ultimately, sales.
So, while these uses are fantastic ways to make money, AI is not necessarily saving companies money upfront. The high initial cost of this technology is one of the most common barriers to adoption, especially for startups whose budgets are tight as it is.
However, it’s important that owners look at the savings potential for AI over the long term. Here are three ways online startups can keep more cash in their pockets by investing in the latest machine-enabled technology.
1. Improving the UX of Your Website
Nailing the look and feel of a website is often a top priority for most online companies. After all, without a physical location, the website is essentially the storefront. While the price of launching an e-commerce website can range depending on its complexity, it often costs companies US$5,000 to US$10,000 to create a good one.
However, just because a website is launched does not mean it’s finished. The next step is to continuously make improvements and changes in order to optimize the UX for customers, a process that can take months to complete, which of course, costs a lot of money.
AI systems can streamline the UX optimization process by using machine learning technology to correct the weak points and snags that are causing people trouble. Using reactive processes, AI systems can observe consumer behaviour and make the necessary changes to reduce issues that are compromising the UX.
Many online companies understand the importance of recording customer information, but this data is completely useless unless it is working to generate conversions. AI can be used to translate this data into personalized experiences for customers by learning their preferences and identifying triggers that prompt action, such as call-to-action button placement or relevant content recommendations.
AI can also be used to speed up the testing process before final changes are implemented on the site. The US-based online clothing brand Cosabella used an AI software system to run their A/B tests on their website design. The process of comparing various design variants and reporting results can take months – or even years – but with AI technology, the process only took roughly 3 weeks. This saved the company copious amounts of money that would otherwise have been spent on design teams and heavy market research.
2. Avoiding Expensive Bad Decisions
Bad choices can mean major losses for a new business. For example, making one bad hiring decision for a new employee who either does their job poorly or quits soon after being hired could cost even a small startup up to US$11,000; not to mention the amount of productivity that may be lost due to their shoddy work.
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For this reason, many companies are incorporating AI technology into their recruiting strategies to avoid bad hiring decisions. These tools can qualify thousands of applicants in a short amount of time by narrowing down the candidates based on experience, keyword usage, and skill matches.
Some systems even use AI-enabled personal assessment tests to measure each candidate’s strengths and weaknesses and report how good of a fit they would be with the company. This information can certainly help hiring managers to make more informed decisions when it comes to bringing new people onboard. A shocking 96% of HR professionals believe that AI will make vast improvements in talent acquisition and retention in the future.
In terms of retail, an extremely costly mistake that can be avoided with AI is inventory management. Overstocking is a waste of resources; whereas running out of inventory could lead to lost sales. Finding the balance and knowing how much product to have in stock is usually a guessing game (more or less), especially for startups who have no past data to guide them.
AI tools that use predictive analytics can forecast inventory needs based on large sums of data, such as changes in the market and consumer behaviour patterns. From here, online businesses can use this information to drive smarter dropshipping strategies by preparing for future inventory needs far ahead of time and avoid any issues.
Even the smallest inventory mistake can be quite costly to a new business. While it may not be possible to avoid every single bad decision, AI technology can certainly help startups to make smarter choices and avoid ones that could end up as expensive disasters.
3. Automate Time-Consuming Tasks
Time is money for any business; this is especially true for startups with lots to do and so little time. Little administrative tasks are necessary to keep an operation running smoothly, but they can eat up precious time that could be spent making sales or brainstorming better strategies.
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Because of this, many businesses opt to outsource tasks like payroll, accounting, and customer service. While this method certainly costs less than hiring another employee to handle the job, it can still be costly and produce meager results.
AI systems can automate many of these time-consuming tasks while still providing businesses with control over its inner workings. AI personal assistants can take on the task of scheduling meetings, following up with leads, and even payroll or employee onboarding. Customer service chatbots can handle common customer FAQ’s and issues in an instant, delighting customers and saving startups the cost of hiring representatives. Businesses that use AI to automate tasks like these save roughly 25 hours a month and report 14 per cent increases in productivity.
Conclusion
AI systems have lots to offer online startups on shoestring budgets. Thanks to its ability to gather, analyze, and learn, it can fix many of the costly and time-consuming issues that new businesses face. By using this technology, startups can not only save themselves time and money, they can provide a better experience for customers in the long run, too.
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This article was first published on May 9, 2018
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