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Case Studies on Successful Implementations of AI-Powered Search
Why do Companies Implement AI-Powered Search?
When companies implement AI-powered search, they are typically looking to resolve one of a handful of solutions: to improve their search capabilities, to provide a better and easier customer experience, to increase personalization options, to give more control over search results, and to optimize and amplify their site search. Companies that are having trouble converting site visits to product purchases can turn to AI-powered search in order to increase the conversion rate and make their website easier to navigate for potential customers. A company can have the perfect product that a customer may need, yet that unfortunately will not matter unless the customer is able to discover the product. The best way to ensure that the customer finds the product best for them is through AI-powered search.
How AI-Powered Search Tools Work
AI-powered search tools use artificial intelligence algorithms to enhance the search experience for customers by being able to predict and comprehend what a customer wants to buy. An example of this would be if a potential customer types into the search “½” rather than “one half” or if they misspell an item an AI-powered search tool would be able to understand what the customer is saying rather than provide no results due to the way the customer typed it. Another example of AI-powered search tools in action would be how easily adaptable it is. It analyzes data from the user and based on the data it is able to provide more accurate and relevant searches catered to each individual customer. Another benefit these tools can add is recommending similar products to customers based on what is in their cart currently, what used to be in their cart that they didn’t purchase, and lastly what the customer has previously ordered from the website. To put it simply, these tools make finding and buying your product a lot easier than it previously was for the customer.
Importance of Case Studies
Case studies show that AI-powered search isn’t just for show, and how it can actually impact a company's e-commerce. Case Studies show how each company improved since utilizing AI-powered tools, and it shows how the ROI for purchasing an AI-powered tool is ultimately worth it. Case studies give a run down on what the company does, what challenges they were facing, what solutions they are looking to get out of using a search tool, the results of the tool’s effect on the company’s e-commerce, and lastly a statement from the company regarding how the tool helped or didn’t help their company.
Case Study Examples
There are many successful case studies of implementing AI-powered search, as implementing it with a reputable company can only improve your site search. Therefore, the biggest difference between a successful case study and an unsuccessful one for this subject matter is related to the extent the tool benefited the company.
The portion of the Case Study above: shows how a certain company was struggling to provide their “internal business users” with an easily usable search tool. Therefore they implemented an AI-powered search tool to fix their problem. In the next case study (found below) a University had an abundance of resources offered on its website but it was difficult for website visitors to navigate.
Due to the struggle that the website visitors had to endure to navigate through the many resources offered to find what they needed, the company implemented an AI-powered search tool to fix their problems. In the next paragraph, the results of these two case studies will be shown and elaborated on.
Results of Successfully Implemented Case Studies
A successful case study will always have a results section near the bottom, which is where the outcome of the company implementing the tool can be read. The aforementioned C2G company (First example in the previous paragraph), had an impressive outcome using AI-powered search.
As you can see in the snippet above, the company that implemented AI-powered search was more than happy with the results of it. Adding in this tool allowed the company to gain control over which products are recommended to each customer, based on brand name, trending searches, the category being viewed, and previous user actions, rather than only showcasing the most bought items. In a case study like this one, it isn’t uncommon for there to be a section showcasing statistics, and for there to be a company statement to finish off the case study. In this case, the statistics provided were a 6% conversion increase, a 12% transaction increase, and a 5%search usage increase. Although these numbers may appear low to the unfamiliar eye, these percentages translate to a sufficient amount of revenue gained for the company.
The statement the company made regarding the AI-powered search tool is a great example of a company that got exactly what they were looking for when adding in the tool. The company is overjoyed with its decision, and it goes to show how important implementing AI-powered search can be for one's company.
The second example given regarding the University extension website had a relatively similar experience as the previous example.
This statement shows how AI-powered search uses seasonal behaviors to better capitalize off of what the website viewers are looking for. It utilizes complicated algorithms in order to best cater to the customer needs which in hand leads to a more successful website.
Wrapping it Up
Implementing AI-powered search tools can propel YOUR company to new heights in the e-commerce world. Based on the case studies provided, and the countless success stories of websites implementing AI-powered search, there isn’t a lot of reason to not hop on the AI-powered bandwagon.