Savingfy offers an AI‑powered SaaS platform that consolidates supplier data into a real‑time repository, automates RFx creation, and aggregates vendor responses for evaluation. Its negotiation engine applies machine‑learning to legal, commercial and technical terms to generate optimal counter‑offers, while built‑in TCO benchmarking and NLP contract analysis provide spend visibility and risk mitigation for procurement, finance and legal teams.
Funding
$35K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mid-market organizations often manage procurement through fragmented spreadsheets and manual processes, leading to prolonged supplier discovery, inefficient RFx handling, and limited visibility into total cost of ownership. This results in higher spend, delayed contract cycles, and exposure to unfavorable or non‑compliant contract clauses.
Solution
Savingfy delivers an AI‑driven SaaS platform that centralizes supplier information, automates RFx creation, and conducts data‑backed negotiations. The system’s rule‑based discovery agents continuously scan external sources to populate a unified supplier hub, while natural‑language processing extracts key terms from vendor documents and flags risky clauses. An AI negotiation engine evaluates quotations across legal, commercial, and technical dimensions, generating optimal counter‑offers based on total cost of ownership calculations. Real‑time analytics surface predictive spend insights and KPI trends, enabling procurement and finance teams to make faster, lower‑risk decisions and achieve measurable cost reductions.
Target Audience
The primary users are procurement and category managers, as well as legal and finance professionals within mid‑market companies seeking to streamline sourcing, reduce spend, and improve contract governance.
Features
- Unified supplier repository with performance metrics, KPIs, and automated web‑scraping agents that refresh data in real time
- AI‑generated RFx documents and automated distribution to a curated shortlist of high‑reliability suppliers
- Integrated response collection that consolidates quotations and proposals into a single evaluation dashboard
- Multi‑dimensional negotiation engine that applies machine‑learning models to legal, contractual, commercial, and technical factors to recommend optimal terms
- Total Cost of Ownership (TCO) benchmarking that normalizes hidden costs (freight, payment terms, SLAs, penalties) and quantifies savings opportunities
- Contract analysis module using NLP to detect unfavorable clauses, auto‑redline drafts, and suggest compliant alternatives with plain‑language explanations
- Predictive analytics suite tracking 200+ spend KPIs, incorporating market dynamics and geopolitical factors to forecast pricing trends
- Versioned clause libraries, audit trails, and API endpoints for seamless integration with ERP and e‑procurement systems