AI-enhanced eSourcing tech

AI Requirements and Scope Definition

Turn fragmented inputs into clear, structured requirements and scope - helping buyers fully define their needs and enabling suppliers to understand, price, and respond consistently.

Benefits:

Turn messy inputs into clear, supplier-ready requirements - helps buyers fully define what they actually need, removing ambiguity and ensuring suppliers understand the scope and respond with higher-quality, more complete bids.

Drive consistency and comparability across sourcing events - structured requirements and scope lead to more aligned supplier responses, fewer clarification rounds, and faster, more confident evaluation and decision-making.

‍Accelerate sourcing while embedding best practice - enables teams to move quickly from draft inputs to RFx-ready outputs, while automatically applying organisational standards, policies, and category expertise at the point of creation.

AI RFx Generation

Turn fragmented requirements, past events and stakeholder documents into clear, structured, RFx drafts, helping teams create better sourcing events faster, with stronger governance, clearer supplier instructions, and more consistent evaluation foundations.

Benefits
Create high-quality RFx documents faster - transforms messy inputs, historic RFx content, and supporting documents into structured draft events, reducing manual effort and accelerating time to launch without sacrificing quality.

Improve event quality from the start - helps teams define requirements, questions, lots, and evaluation criteria more clearly upfront, reducing ambiguity, avoiding weak event design, and improving the quality and comparability of supplier responses.

Embed governance and best practice at creation stage - applies organisational standards, category knowledge, policies, and required controls as the RFx is being built, ensuring governance is designed in early rather than added later through rework.

Virtual centre of excellence

Provides a central source of institutional and DeepStream best practice for how sourcing should be run, embedding policies, ESG requirements, and risk controls directly into RFx creation. Governance is enforced at creation, not retrofitted later - driving consistency, improving output quality, and aligning every sourcing event with current organisational standards.

Embed governance and best practice into every RFx by default - ensures policies, ESG requirements, risk controls, and approved methodologies are consistently applied, rather than relying on individual users to remember or interpret them.

Standardise sourcing quality across teams and regions - creates a single, curated source of truth that drives consistent RFx structure, questions, and evaluation criteria, reducing variability and improving overall output quality.

Continuously improve and scale organisational expertise - allows procurement and consultancy teams to capture and operationalise best practices, category knowledge, and evolving standards, so every new RFx benefits from collective experience.

AI Supplier Response Assistance

Enables suppliers to submit responses using existing documents, unstructured inputs and rate cards which are automatically ingested, interpreted, and structured into consistent, comparable formats - lowering barriers to participation while improving response quality and usability for procurement.

Benefits
Remove barriers for low-tech and time-constrained suppliers - allows suppliers to respond using existing documents, proposals, and data, avoiding complex templates and manual reformatting, and making it easier for a broader set of suppliers to participate.

Increase competition and response rates - reduces friction in the response process, encouraging more suppliers to bid and improving the quality and diversity of submissions.

Turn unstructured inputs into structured, comparable data - ingests qualitative and quantitative information from supplier documents and converts it into standardised formats, enabling clear, apples-to-apples comparison across bids.

Streamline analysis and reduce procurement rework - delivers clean, structured inputs directly into evaluation, reducing manual interpretation and enabling faster, more consistent, and more defensible decision-making.

AI Bid Comparison 

Turn inconsistent supplier responses into a clear, apples-to-apples view, highlighting differences, gaps, and stronger or weaker answers so bids are ready for faster, more confident evaluation.

Benefits 

Create true apples-to-apples comparisons - automatically structures and levels inconsistent supplier responses so pricing, assumptions, and qualitative answers can be compared clearly and consistently.

Surface gaps and response quality instantly - highlights missing information, inconsistencies, and stronger or weaker answers, reducing the risk of misinterpretation or incomplete evaluation.

Make bids ready for confident evaluation - suggests targeted clarification questions and produces clean, comparable outputs that enable faster, more aligned, and more defensible decision-making.