When Procurement Needed AI, There Was None – So We Built It
The Problem: An Overlooked Gap in AI Adoption
Last year, while evaluating procurement solutions, we noticed a paradox:
AI was transforming adjacent fields like logistics and inventory management
Yet core procurement processes still relied on manual workflows
No dedicated AI solutions existed for supplier discovery and vetting
The opportunity was clear: procurement needed its own AI revolution.
Our Approach: Building What Was Missing
Phase 1: Questioning Assumptions
We started by validating:
Why existing tools failed to address key pain points
Where manual processes created most friction
What "ideal" procurement would look like for SMEs
Phase 2: Focused Automation
Our MVP tackled just three core issues:
Standardizing supplier comparisons
Demystifying pricing structures
Validating quality claims
Phase 3: Continuous Learning
The system evolves through:
Every completed transaction
User feedback loops
Supplier performance data
Why This Matters Today
The Accio sourcing platform now helps users:
Reduce sourcing time by 60-80%
Improve supplier match accuracy
Make confident procurement decisions
Key Insight:
Being "first" simply meant:
Identifying an obvious but ignored need
Executing on fundamentals
Letting users shape the solution
Join the Conversation
We'd love to hear your product-building stories:
• What overlooked problem are you solving?
• How did you validate your initial assumptions?
• What "obvious" gaps exist in your industry?
Drop your thoughts below – the best solutions often come from shared experiences.
