The future of
eSourcing

AI use cases

Procurement staff efficiency gains estimated in the
20-30% range, from
AI sourcing agents.

Redefining procurement performance in the era of agentic AI
McKinsey, Feb 5, 2026

Disclaimer: This ebook outlines our general product direction with AI and automation. This is not a detailed specification. AI use cases or features may be added, removed, amended, or deprioritized based on market dynamics and customer feedback. This information should not be solely relied upon in making a purchasing decision.

From a structured tool to a guided experience

Proven capabilities ready today

The eRFx and eAuction platform handles the full sourcing cycle in one place: supplier prequalification, evaluation, and selection. Best-practice templates, flexible configurations, real-time tracking, and built-in messaging let your team run more sourcing events without sacrificing quality or compliance. Transparent analytics and collaborative scoring deliver confident, unbiased supplier decisions.

How AI takes it further

AI is evolving eSourcing from a structured sourcing tool into an intelligent, guided sourcing experience. Through conversational event creation and automated proofreading,
AI simplifies and accelerates event setup while improving the quality and consistency of event documentation. Post bid submission, AI‑generated response summaries and analytics turn complex supplier inputs into clear insights – enabling faster evaluation, robust
comparisons, and more confident award decisions with less manual effort.

^{eSourcing: Use cases}

Use case	Today’s pain	AI-delivered value
Conversational eSourcing event creation	Initiating new eSourcing events can be complex and time-consuming, especially for users unfamiliar with the process or unsure which suppliers, questions, or pricing structures to include.	AI guides users through a simple, conversational journey – suggesting suppliers, qualification questions, and pricing matrices based on historical data. This reduces setup time, lowers the barrier to entry, and ensures best practices are followed.
Automated proofreading	Drafting and refining eSourcing events often require significant manual effort to ensure clarity, professionalism, and accuracy, increasing the risk of errors or miscommunication.	AI-powered proofreading and content refinement automatically improve document quality, soften technical language, and professionalize text before sending to suppliers – saving time and reducing mistakes.
Supplier response summaries	Reviewing and comparing supplier responses can be overwhelming, especially when responses are lengthy or highly detailed, making it difficult to quickly identify key differences and insights.	AI generates concise summary reports of supplier responses, highlighting key differences enabling stakeholders to make faster, better and more informed decisions regarding supplier shortlisting and/or awarding.
Automated post-bid analysis	Analyzing post-bid data to determine the best sourcing strategy is time-consuming and error-prone especially for eSourcing event with extensive bidding sheets or many suppliers involved.	Allow natural language prompting of constraints and expected award scenarios. AI analysis supplier bids across multiple award scenarios, highlighting trade‑offs, risks, and key differences. Clear award tailored scenario building support faster, better and more confident award decisions.

See all the AI S2C modules