Resourcly provides an AI‑ready parts intelligence platform that consolidates PLM and ERP data into a unified repository, automatically detecting duplicate components and recommending alternatives. The web‑based dashboard delivers real‑time inventory analytics, supply‑chain risk insights, and a working‑capital impact calculator to help engineering, procurement, and supply‑chain teams accelerate design cycles and reduce inventory costs.
Funding
$3.1M 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
Manufacturers often store parts data across disparate PLM and ERP systems, resulting in fragmented, inaccessible information that hampers efficient design, sourcing, and inventory management. This fragmentation obscures redundancies and hidden capital, leading to longer time‑to‑market and higher supply‑chain risk.
Solution
Resourcly offers an AI‑ready parts intelligence platform that consolidates and harmonizes data from multiple PLM and ERP sources into a unified repository. The platform applies machine‑learning algorithms to detect duplicate or redundant parts, suggest optimal alternatives, and generate deep inventory analytics. By providing real‑time insights into part availability and supplier options, it enables engineering and supply‑chain teams to accelerate design cycles and make more informed sourcing decisions. The solution also quantifies potential working‑capital release, helping companies unlock up to 15% of balance‑sheet assets. All analytics are delivered through a web interface that integrates with existing enterprise workflows, allowing users to act on recommendations without extensive data‑preparation effort.
Target Audience
Primary users are engineering design teams, procurement specialists, and supply‑chain managers at mid‑size to large manufacturing enterprises seeking to streamline parts management and reduce inventory costs.
Features
- Automated ingestion and normalization of PLM and ERP parts data into a single AI‑ready dataset
- Redundancy detection engine that identifies duplicate components across product portfolios in seconds
- Part suggestion module that recommends standardized or alternative parts to speed up design
- Deep inventory analytics highlighting supply‑chain risks, stock levels, and alternative sourcing options
- Quantitative working‑capital impact calculator showing potential balance‑sheet savings
- Web‑based dashboard with visualizations and export capabilities for engineering and procurement teams