AI • Procurement • Enterprise
Introducing AI into the Procurement Platform
A strategic journey from experimentation to enterprise-scale AI implementation, reducing manual effort and accelerating decision-making across sourcing, negotiation, and procurement workflows.
Role
Product Design
Timeline Present
Platform
Enterprise SaaS
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Overview
To stay competitive in an increasingly AI-driven
procurement landscape, we initiated a phased
introduction of artificial intelligence across our
procurement platform.
The goal was to reduce manual effort, accelerate
decision-making, and improve value realization across
sourcing, negotiation, and request creation workflows.
Key Objectives
Reduce Manual Effort
Automate repetitive tasks across workflows
Accelerate Decisions
Enable faster, data-driven procurement choices
Improve Value
Optimize outcomes across sourcing lifecycle
Phase 01
Initial Experiment: Bidly.ai
Proof of concept to explore AI capabilities in procurement workflows
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Our first AI experiment leveraged Bidly.ai to explore how AI could support sourcing and negotiation workflows,
providing early validation of AI-assisted procurement capabilities.
Outcome
Early validation of AI in
procurement
Demonstrated automation
potential
Proved summarization
capabilities
Limitations
Limited functionality and
customization
Insufficient multi-vendor support
Poor enterprise scalability
Key Learning
While Bidly.ai validated feasibility, it
lacked depth for real-world
procurement complexity, reinforcing
the need for a robust AI foundation.
Strategic Pivot
Transition to Penny AI
Recognizing that AI is not optional but foundational to the future of procurement,
we transitioned to Penny AI as a strategic, long-term initiative. This move
positioned us to compete with AI-first procurement platforms while solving
deeper operational challenges.
Phase 02
Current AI Implementations
Three core AI features transforming procurement workflows
1
Feature
RFQ Negotiation Summary
Procurement teams often spend significant time reviewing lengthy RFQ responses, creating bottlenecks in the evaluation process.
AI Solution
Automatically summarizes RFQ negotiations
Extracts key price points and terms
Reduces cognitive load and review time
Impact
Faster evaluation cycles
More consistent decision-making
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2
Feature
Auto-Negotiation in
E-Sourcing
In complex sourcing events, multiple vendors submit
varied offers across pricing, quantity, and terms, making
optimal selection challenging.
AI Solution
Decouples multi-line, multi-vendor offers
Identifies best-value combinations
Negotiates autonomously with constraints
Impact
Optimized sourcing beyond single vendors
Significant reduction in manual effort
3
Feature
Conversational Procurement
Traditional request creation is time-consuming and form-
heavy, creating barriers for non-procurement users.
AI Solution
Chatbot answers procurement queries
Natural language request creation
Example: "I need 50 laptops for Bangalore"
Impact
Request creation in seconds vs minutes
Lower barrier for all users
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Final Results
Measurable impact across the procurement lifecycle
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65%
Faster Review Cycles
40%
Better Cost Optimization
3x
User Adoption Rate
What's Next
Future Roadmap
AI as a horizontal capability across the procurement lifecycle
Scannable Invoicing
Upload invoices via mobile phone and auto-map
data into the system
Real-Time Budget Insights
Live visibility into spend, forecasts, and budget
impact
AI Contract Management
Risk detection, clause summarization, and renewal
insights
Spend Intelligence
Predictive insights across sourcing, invoicing, and
contracts
Conclusion
Our AI journey evolved from experimentation to strategic investment. While the initial
trial with Bidly.ai validated the direction, transitioning to Penny AI enabled us to
address real procurement complexity at scale.
By embedding AI into negotiation, sourcing, and request creation, we are building a
future-ready procurement platform that is faster, smarter, and more competitive.
Made
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