Unlocking Synergies by Combining SAP Fieldglass with SAP Business AI

SAP Business AI is an artificial intelligence-powered solution that leverages machine learning and predictive analytics to provide intelligent insights and recommendations for business processes.

When integrated, SAP Fieldglass and SAP Business AI enhance the capabilities of each other, resulting in improved efficiency and effectiveness in managing the external workforce. SAP Fieldglass provides data on the contingent workforce, such as worker profiles, skills, and availability. SAP Business AI analyzes the data within the organization’s talent pool and applies machine learning algorithms to identify patterns and trends. It can then provide recommendations on the best contingent workers to engage for specific projects based on their skills, experience, and availability.

For example, let's say WorkingNet, a leading manufacturer of data networking equipment, needs to find a temporary data network engineer to help complete a project. With the integration of SAP Fieldglass and SAP Business AI, the company can input the required skills into the system and SAP Business AI will analyze the data and identify workers who possess the required skills and are available. It can also provide insights on the worker’s performance and track record based on historical data. This helps the company make informed decisions on which contractor to engage, maximizing the chances of project success.

Nearly a quarter of job postings sent to suppliers in past years had job descriptions with 100 characters or less, primarily because creating job descriptions is tedious and time-consuming. The short job descriptions caused suppliers to misunderstand the requirements for the job posting, causing unsuitable or underqualified job seekers to be submitted, leading to extra work for Hiring Mangers and longer cycle times for the company’s overall hiring process.

However, SAP Fieldglass now leverages generative AI to produce or enhance more complete and relevant job descriptions. Users are given control of the information they provide for the AI job posting description generation, including job title, existing job description, and skills/qualification data. Contextual prompts are also used to set clear instructions and include safeguard items to avoid any unwanted bias.

Having more comprehensive job descriptions will provide improved indicators to help with unbiased data driven decision making, specifically with the SAP Fieldglass AI-Enhanced feature to assess job seeker resumes in the application.

Watch the video to learn more about how AI can assist in writing stronger job descriptions for job postings.

Historically, when a buyer and supplier collaborated to define an SOW, there was at least a 55% increase in cycle times for the SOW creation. If SOWs were vague or missing important information, there could be an increased risk to all involved.

To prevent these issues, SAP Fieldglass now utilizes AI to enhanced SOW descriptions. By leveraging the power of Generative AI, a user can provide a series of simple inputs and generate a comprehensive SOW description, ultimately accelerating the overall SOW collaboration process. The new AI-enhanced SOW description also includes explanations of the different SOW characteristics, which can be used to support the description even further.

By converting project outlines and relevant keywords into comprehensive descriptions, companies can ensure more accurate and efficient project planning. It can also elevate service providers’ efficiency and success by clearly communicating a company’s unique needs. Through improved understanding and collaboration, it reduces cycle times, mitigates project risks, and streamlines operations.

Watch the video to learn more about how AI can assist in crafting stronger project descriptions for statements of work.

In SAP Fieldglass, at least 90% of job posting templates are initially written in English. To ensure suppliers understood the job requirements, users manually translated at least 10% of these descriptions into other languages. These manual translations often led to supplier confusion about job requirements, resulting in less suitable candidate submissions and extended submission times due to the need for further clarification.

However, SAP Fieldglass now uses AI to simplify the translation of job posting descriptions. This feature allows users to leverage Generative AI to translate job posting descriptions seamlessly within the standard SAP Fieldglass workflow. The system automatically detects the language used in the job posting description and translates it to the user's configured profile language.

With AI-assisted job description translations available in 21 languages, companies can support multiple regions and empower global users to swiftly translate job descriptions into their preferred language, enhancing ease of use across diverse geographies and helping regional service providers understand a company’s business needs. The translation utilizes smart contextual prompt engineering, ensuring that the content is not merely translated word for word, but that the job requirements and responsibilities are clear and accurately conveyed in the target language.

Watch the video to learn more about the benefits of the AI-enhanced job posting description translation feature in SAP Fieldglass.

After the AI-enhanced translation, users need to review the content generated before proceeding and are free to make any modifications to the description as needed.

When it comes to hiring, finding the best candidate is a top priority. Often, though, companies suffer an influx of applications that can make it difficult to find a starting point and easy to overlook top candidates, especially as labor shortages and disruptions drive demand for external workers.

AI resume analysis functionality in SAP Fieldglass Contingent Workforce Management can help bridge this gap. When the company configuration 'Assess job seeker resumes using AI' is enabled, the application uses Machine Learning capabilities to parse through resumes by objectively comparing its contents to keywords provided in the job posting description. This gives hiring managers an edge in their hiring process by evaluating how closely a resume matches a job's requirement, and:

• Assesses job seekers by matching the skills they've listed on their resumes to those on the job description.
• generates an assessment for each candidate to determine how well their skills and professional experiences align to a job posting.
• highlights the technical and soft skills on the candidate’s resume so hiring managers can see at a glance if a candidate possesses desired expertise.

This functionality then displays a score to reflect the assessed values, which can be categorized in the following manner:

• Great Match: Job seeker’s skills and experience align perfectly with the job posting requirements.
• Better Match: Job seeker is a good fit, but there may be some skills or experience that is lacking.
• Good Match: Some skills and experience match the job description, but there are several requirements that the job seeker does not meet.
• Weak Match: Job Seeker is lacking a majority of the job posting’s requirements.

• 0%+ score = No Match: Job seeker does not have any necessary qualifications needed for the job.

In addition, the algorithms in SAP Fieldglass Contingent Workforce Management remove personal information to help avoid unconscious bias and drive confident decisions grounded in business data.

Watch the video to learn about how the AI-enhanced resume assessment feature helps make job seeker selection faster and more efficient.