Unlock the rest of the success story
Leave your details to read the rest of the article
GLOBAL INDUSTRIAL TECHNOLOGY LEADER X Roboyo
Share Insight:
To overcome inefficiencies in RFQ (Request for Quotation) evaluation and accelerate strategic procurement, a global industrial technology leader partnered with Roboyo to automate their RFQ scoring process using adaptive rules and AI. The result was a faster, more accurate, and intelligence-driven scoring system that delivered measurable business impact.
About the Client A multinational engineering and manufacturing company specializing in materials services, automotive technology, industrial solutions, and steel production. Operating across multiple sectors, the client manages high volumes of technical proposals and sourcing evaluations that demand speed, scale, and precision.
uplift in improved win rates and proposal turnaround time
Reduced operational costs in RFQ processing
“By automating the scoring and risk analysis, we’ve not only saved time—we’ve enhanced consistency and strategic clarity in every sourcing decision.”
Head of Strategic Sourcing, Global Industrial Manufacturer
The RFQ evaluation process was time-consuming, inconsistent, and heavily reliant on manual review. Procurement teams had to manually extract data from dense, often unstructured technical documents. many of which spanned multiple languages and formats. This created delays in evaluation cycles and made it difficult to maintain consistent scoring logic across departments and regions.
As a result, sourcing teams faced limited visibility into risk factors, missed critical deadlines, and spent significant time revalidating incomplete or ambiguous supplier responses. The inability to scale evaluations at speed meant missed revenue opportunities, higher operational costs, and reduced competitiveness in fast-paced bidding environments.
Additionally, leadership lacked real-time insights into RFQ status and supplier responsiveness, creating strategic blind spots in sourcing decisions.
These delays and inconsistencies also had downstream effects on customer satisfaction and brand credibility. Slower RFQ responses and misaligned bids not only impacted supplier relationships, but also eroded the company’s perceived agility and reliability in the eyes of their customers. Over time, this created reputational risk and diminished customer loyalty, especially in industries where speed, precision, and reliability are core to brand trust.
To modernize and scale its RFQ evaluation capabilities, the client partnered with Roboyo to implement an AI-powered application using Microsoft’s Power Platform and OpenAI integration. The tool automated the scoring, classification, and risk analysis of RFQs, reducing manual workload, increasing response accuracy, and improving the speed of decision-making.
The solution leveraged generative AI through Microsoft Azure OpenAI, combining Retrieval-Augmented Generation (RAG) with natural language processing (NLP) to automate RFQ scoring, risk evaluation, and multilingual understanding.
The solution supported multi-language workflows, enabling global procurement teams to process RFQs consistently across diverse regions and languages. Built using a low- code Microsoft Power Platform foundation, the tool is scalable and easy to adapt by internal teams without heavy IT involvement.
It also reinforced data consistency and compliance, an essential requirement in regulated industrial sectors, ensuring critical RFQ data was handled with accuracy, auditability, and enterprise-grade security controls.
Solution Workflow: Upload RFQ → Document Extraction → RAG-based Q&A → Scoring & Summary → Decision Support
By applying intelligent rule-based automation and pre-trained models, the client was able to quickly extract critical information, identify risk parameters, and score proposals in real time. The system also supported multilingual evaluations, streamlining global sourcing efforts.
Technology & Methodology Used
Automation Platform:
Technology Stack:
AI Techniques Used:
Services used:
Methodology used:
Outcome The implementation of Roboyo’s AI-powered RFQ scoring system marked a pivotal moment in the client’s transformation journey. What began as a tactical automation initiative quickly evolved into a strategic advantage, enhancing operational responsiveness, reducing cost, and reinforcing the client’s brand as a reliable and innovative procurement partner.
Commercial Results
Operational Impact
Strategic Reputation Uplift By increasing responsiveness and ensuring consistent evaluation standards, the client not only enhanced operational efficiency but also strengthened its position as a trusted, agile partner to its customers and suppliers. This improvement in turnaround time and data integrity directly contributed to improved partner satisfaction and reinforced the company’s reputation for reliability in competitive bid cycles.
The solution was deployed rapidly with minimal disruption, enabling early ROI and swift adoption across departments.
Roboyo was chosen not only for our AI and automation expertise but for our ability to embed strategic logic into repeatable frameworks that scale globally. We delivered a modular solution that could evolve with the client’s sourcing strategy while integrating seamlessly with existing platforms.
What we delivered:
For enterprise leaders, this project demonstrates how AI can bring precision, scalability, and strategic intelligence to even the most document-heavy workflows. At Roboyo, we turn complexity into competitive advantage.
Let’s Turn AI Into Strategic Impact
AI should do more than speed things up. It should sharpen decision-making and unlock measurable value. Contact us to learn how Roboyo’s AI-driven solutions can elevate your procurement and sourcing strategy.
By prioritizing high-fit RFQs and focusing your effort where you have the best chance, customers have seen improved win rates and faster turnaround times.
A: Yes, the solution is fully configurable to your business rules, risk factors, and evaluation priorities.
A: Our Smart RFQ Scoring solution uses Retrieval-Augmented Generation (RAG) and GenAI to provide contextual, rules-based scoring, matching or exceeding manual review quality—but 60–80% faster.
A: We can deploy a working solution in just a few weeks, allowing you to start saving time and winning more bids almost immediately.
A: Absolutely. The solution is built with enterprise-grade security, full audit trails, and customizable compliance controls to meet your governance requirements.