Perficient is always looking for new ways to improve our efficiency and effectiveness. One way we are doing this is by using artificial intelligence (Generative AI) to help us find the most suitable resources to be assigned to any project in need.
AI can be used in different ways for our company to find resources. Now, we are developing a tool that can help us with the following tasks:
- Searching for and identifying potential resources using NLP (Natural Language Processing) that works by breaking down language into its component parts, such as words, phrases, and sentences. It then analyzes these parts using linguistic and machine learning techniques to extract meaning
- Matching resources to projects based on their skills and experience.
Our application is using Natural Language Processing to search for and identify potential resources on our resume database. The AI scans our Resume profiles understanding the meaning of search queries and providing more relevant results, against the traditional search that only is based on keywords matching.
Here are some key points to understand better the difference between our application against a traditional search:
- Understanding the meaning of queries: NLP search can understand the meaning of search queries, even if they are complex or ambiguous. For example, if you search for “BA with QA experience,” NLP search can understand that you are looking for profiles who can match with a particular assignation. Traditional search, on the other hand, would simply match your query to keywords in documents and return results that contain those keywords, regardless of whether they are relevant to your query
- Providing more personalized results: NLP search can provide more personalized results by considering the user’s past search history and preferences. For example, if you have frequently searched for PMs in the past, NLP search may be more likely to return Product Owners and/or Scrum Masters, that are profiles that could match with a Project Manager profile. Traditional search, on the other hand, would simply return the most relevant results based on the keywords in your query, regardless of your past search history.
- Identifying synonyms and related terms: NLP search can identify synonyms and related terms, which allows it to return more relevant results for a wider range of queries. Traditional search, on the other hand, would only return results that contain the exact keywords.
Also, our application using NPL is making a significant difference against a traditional search in several ways providing more relevant and personalized results for a wider range of queries considering the resource’s skills, experience, availability, and preferences when doing the matching. As a result, NLP search is becoming increasingly popular, and it is being used by a wide range of search engines and other applications.
Some benefits of using Generative AI to find resources for our clients include the following:
- Improved accuracy: AI can help reduce the risk of human error in the resource assignment process. Overall, because by getting a better understanding of search queries and more personalized results we can get the resources as accurate as the position needs.
- Increased efficiency: AI can automate many of the tasks involved in resource assignment, such as identifying potential resources, matching resources to projects, and assessing the availability of resources. This can free up Perficient staff to focus on more strategic tasks.
- Reduced costs: AI can help Perficient reduce the costs associated with resource assignment, such as the costs of recruiting and training new resources.
- Improved client satisfaction: By helping Perficient find the right resources for the right projects, AI can help improve the quality of services delivered to clients.
Moving faster. Engaging smarter. Connecting deeper with our clients
As a consultant company that is interested in using AI for resource assignment, there are a few things we did to get started:
- Identifying our needs: What are the specific resource assignment challenges that you are facing? What are your goals for using AI?
- Choosing an AI solution: There are different AI solutions available for resource assignment. Choose a solution that is right for your company’s needs and budget.
- Implementing the AI solution: Once you have chosen an AI solution, you will need to implement it within your organization. This may involve training your staff on how to use the solution and integrating it with your existing systems.
- Monitoring and evaluating the AI solution: Once the AI solution is in place, you should monitor and evaluate its performance to ensure that it is meeting your needs.
For closure in our first touch with NPL, we can say that it is a powerful tool that can help Perficient’s efficiency by automating tasks such as customer service, data entry, etc. Also, the quality of the deliverables can be improved by identifying errors and inconsistencies in text-based documents, for example, our resumes; finally, the innovation: with this kind of engine, we can still innovate by developing tools and services for our needs. This would improve the customer experience and help the company increase our exposure.
Because in the end, this is how we are leading digital change: driving real results. globally…
Thank you Hadwin 🙂