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The Procurement
Decision Hub

Commodity markets are volatile. The real risk is how procurement decisions are structured. INAYA closes the gap between market intelligence and defensible execution.

Faster than volatility. Smarter than reaction.

Commodity Markets Are Volatile.
Procurement Decisions Amplify the Risk.

Volatility is a market condition. But risk is amplified by how decisions are structured — or left unstructured.

01

Budget Structuring Risk

Baselines set without forward visibility become structurally fragile. A budget approved in January may be obsolete by March — not because the market changed, but because the assumptions were never stress-tested against scenarios.

02

Fixing Decisions Risk

Fixing without structured timing frameworks means decisions are reactive. Without pre-calculated impact scenarios, procurement teams commit exposure based on intuition — not on quantified forward analysis.

03

Governance Discipline Risk

Without documented rationale, every commodity decision is an unsupported opinion. Finance cannot audit what was never formalized. Boards cannot govern what was never structured.

“Risk becomes visible after commitment.”

The Commodity Decision Gap

Market signals exist. Procurement actions exist. What does not exist is a structured Decision Hub layer linking the two.

Market Information

📊Spot & Forecasts
📈Future Curves
🌐Macro Signals
🏭Supplier Inputs

Decision
Gap

Decision Gap

Procurement Decisions

💰Budget Baselines
⏱️Fixing Timing
📦Volume Commitment
📝Contract Negotiation

How INAYA Closes
the Decision Gap

INAYA is built on a multi-agent AI architecture where specialized agents autonomously collect market data, analyze supply/demand fundamentals, and generate forward-looking scenarios — delivering forecast accuracy that consistently outperforms traditional approaches.

01

AI-Powered Market Intelligence

Continuous, autonomous data collection

Specialized AI agents continuously monitor prices, news, macro-economic indicators, and supply/demand fundamentals across your commodity universe. Natural language processing extracts structured signals from reports, filings, and real-time feeds — building a forward visibility of up to 24 months with regime-aware dynamic weighting.

Multi-agent autonomous monitoring
Fundamentals-driven analysis
Regime-shift detection
02

Predictive Scenario Engine

AI-generated forward paths

Before committing exposure, the AI generates multiple forward-looking scenarios grounded in real fundamentals — cost curves, trade flows, inventory dynamics. Simulate fixing strategies across these paths and quantify the budget delta between acting now versus waiting.

AI-driven forward scenarios
Budget delta quantification
Fundamentals-based projections
03

Documented, Defensible Decisions

Governance-ready rationale

Every fixing decision is captured with its underlying rationale, scenario context, and quantified impact. Finance and leadership receive structured, auditable documentation — not post-hoc justifications.

Audit-ready decision trail
Finance-compatible reporting
Board-level governance

Model Credibility

3-Year

Proven Backtest

24M

Forward Visibility

>90%

Avg. Accuracy

Validated over 3 years of historical data. Accuracy that outperforms consensus and major industry forecasts.

Enterprise Impact of
Structured Decisions

When procurement decisions are structured, quantified, and documented, the impact compounds across every dimension of enterprise governance.

Proactive Decision Timing

Detect market regime shifts weeks before the consensus reacts. Procurement teams gain a structured window to act — turning reactive responses into planned, defensible moves.

Reduce Exposure Risk

Quantify budget exposure across multiple forward scenarios before committing. Know the financial delta between fixing now versus waiting — with clarity, not guesswork.

Stronger Budget Robustness

Stress-test budget assumptions against multiple forward paths grounded in real market fundamentals. Baselines become validated positions — not arbitrary targets.

Governance & Accountability

Every fixing decision is captured with full rationale, scenario context, and quantified impact. Finance and boards receive structured, auditable documentation — not post-hoc justifications.

A Governance-Ready
Decision Environment

INAYA transforms fragmented market data into structured, forward-looking Decision Hub for procurement teams. From baseline setting to fixing timing and volume commitments — every action is structured, quantified and defensible.

INAYA Decision Hub — Available on desktop, tablet, and mobile
Try Free for 1 Month

Baseline Setting

Define and validate budget baselines against structured forward scenarios. Know if your assumptions hold before committing.

Scenario Simulation

Run fixing strategies across multiple forward paths. Quantify financial impact before any commitment is made.

Exposure View

Real-time visibility into your commodity exposure. See how fixing decisions affect budget position across time horizons.

Decision Documentation

Every decision is captured with rationale, context, and impact. Build an auditable governance trail automatically.

Strategy. AI.
Enterprise Procurement.

INAYA was founded by professionals with years of hands-on experience in data, AI, and strategic decision-making within complex organizations. We have worked closely with executive and procurement teams, supporting choices made under uncertainty, time pressure, and incomplete information.

Davide Di Benedetto

Davide Di Benedetto

Co-Founder & CEO

Ex Senior Manager @Deloitte

Gianluca Colaiacomo

Gianluca Colaiacomo

Co-Founder & CPO

Ex Manager @Deloitte

Marco Di Stani

Marco Di Stani

Co-Founder & CAIO

Ex Senior Consultant @Deloitte

Francesco Antonelli

Francesco Antonelli

CTO

Ex Senior Software Engineer @Ericsson

Ferdinando La Posta

Ferdinando La Posta

Advisor

Ex CEO @Euronext Company

Joerg Steinhaeuser

Joerg Steinhaeuser

Advisor

Ex VP Global Sourcing @General Mills

This is the perspective we bring to everything we build.

Frequently Asked
Questions

Everything you need to know about INAYA and how it transforms commodity procurement decisions.

What is INAYA?

INAYA is an AI-powered Procurement Decision Hub that transforms commodity market signals into structured, quantified, and defensible procurement decisions. It bridges the gap between market intelligence and procurement execution, providing enterprise teams with the tools to make proactive, governance-ready commodity decisions.

What is a Procurement Decision Hub?

A Procurement Decision Hub is a centralized platform that connects market data, forward-looking scenarios, and procurement actions into a single, structured decision environment. Unlike fragmented spreadsheets or siloed tools, it provides end-to-end visibility from market intelligence to fixing decisions, budget baselines, and auditable documentation — all in one place.

How does INAYA use AI for commodity procurement?

INAYA is built on a multi-agent AI architecture where specialized agents autonomously collect and analyze commodity prices, news, macro-economic indicators, and supply/demand fundamentals. Natural language processing extracts structured signals from reports, filings, and real-time feeds, building forward visibility of up to 24 months with regime-aware dynamic weighting.

What commodities does INAYA cover?

INAYA covers a broad universe of tradable commodities including energy (oil, natural gas), metals (copper, aluminium, steel), agricultural products (cocoa, coffee, sugar, wheat), and soft commodities. The platform's AI agents continuously monitor prices, fundamentals, and market dynamics across all covered commodities.

How does INAYA improve procurement governance?

Every fixing decision in INAYA is automatically captured with its underlying rationale, scenario context, and quantified financial impact. This creates an auditable governance trail that finance teams and boards can review. Instead of post-hoc justifications, procurement teams produce structured, defensible documentation in real time.

What is the Commodity Decision Gap?

The Commodity Decision Gap is the structural disconnect between market information (spot prices, forecasts, macro signals, supplier inputs) and procurement actions (budget baselines, fixing timing, volume commitments, contract negotiations). Market signals exist. Procurement actions exist. What is often missing is a structured decision layer linking the two — which is exactly what INAYA provides.

How accurate are INAYA's forecasts?

INAYA's AI-driven forecasting model has been validated over 3 years of historical data, achieving average accuracy above 90%. The platform provides forward visibility of up to 24 months, using fundamentals-driven analysis with regime-shift detection that consistently outperforms consensus and major industry forecasts.

How can I try INAYA?

You can start a free 1-month trial directly at app.inaya.ai, or book a demo with our team to see the platform in action. Our team will walk you through the Decision Hub, show you live commodity scenarios, and help you understand how INAYA fits your procurement workflow.

Let's Structure Your
Commodity Decisions.

Whether you're ready to transform your procurement decision process or want to see how structured Decision Hub works — we're ready when you are.

🚀 Try Free for 1 Month

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