Part Analytics

300 N Executive Dr., STE 103 | Brookfield, WI | 53005 United States
jim.robinson@partanalytics.com
312-282-7926
Provides solutions and/or services in the following categories:

PART ANALYTICS’ AI-powered supply management solution helps OEM’s and EMS companies transform sourcing into a strategic advantage by combining internal data with market and community data to continuously deliver the most relevant opportunities to reduce cost and mitigate risk.

Our suite of SaaS-based solutions delivers predictive analytics that empowers smarter, data-driven decision making. This enables our clients to:

– Improve margins. Harmonize data from internal sources, suppliers, and manufacturers to optimize spend and drive savings.
– Increase supply chain agility. Uncover hidden risks at the part-, product-, and commodity-level with recommended mitigation actions to increase response time.
– Accelerate new product development. Enable collaboration between product and sourcing teams and optimize product cost and risk throughout product lifecycle.
– Automate sourcing. Elevate the sourcing team’s performance by reducing time spent on data collection, cleansing, and report generation by more than 80%.

Part Analytics AI-powered solution digitizes manual processes, captures and analyzes data across the supply chain, and enables sourcing teams to focus on driving business value.

  • Supplyframe DirectSource: Vendor Analysis (Part 2) — Deep dives on NPI, DirectSource; SWOT; Supplyframe competitors [PRO]
  • Defining and digitizing direct procurement (Part 1) — Direct materials sourcing [PRO]
  • Beyond Spend Influence: Enabling Procurement’s Emerging Roles in Business Transformation (Part 5) — Supply Chain / Direct Procurement Influence (Cont.) [PRO]
  • Part Analytics: A New Vendor in Direct Materials Analytics [PRO]
  • 50 Shades of Pay Free Download – Giving Stakeholders Access to Procurement Spend Analytics
  • 50 Shades of Pay – Shade 10: Giving the Car Keys to Those Who Own the Cars [Plus+]
  • Procurement Information Architecture Part 3.2: Analytics
  • Procurement Information Architecture Part 3: Analytics