Microsoft Nonprofit United States

Goodwill of Orange County

Marketing Personalization · Sales Automation

To expand the pool of people ShopGoodwill.com can employ, and to grow revenue used for its mission, Goodwill of Orange County developed an AI-powered app. The solution uses Azure AI capabilities to identify an item of clothing and extract information from photos of labels; it then creates a listing description using generative AI.

A 35 percent increase in the number of items a lister can post is huge at our scale,” Smith says.
Goodwill of Orange County has calculated that research and writing item descriptions takes 35-45 percent of the time it currently takes to create a listing for ShopGoodwill.com.
Goodwill of Orange County has worked with Microsoft since 2018 to modernize ShopGoodwill.com, enabling it to scale.
ShopGoodwill.com sells about $9 million in clothing every month, so widespread use of the tool could easily push that figure past $12 million, he estimates.

Reported impact

Business outcome

Since posting items will become easier and faster, ShopGoodwill.com will be able to direct more product to its e-commerce site—again, leading to higher revenue to fund the Goodwill mission. Smith also hopes to add an AI-enabled feature that uses aggregate sales history to predict the best price for each item. Future app updates will include additional clothing categories and other items.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

Goodwill of Orange County built this solution on Azure AI Services. To expand the pool of people ShopGoodwill.com can employ, and to grow revenue used for its mission, Goodwill of Orange County developed an AI-powered app. Azure AI Services applies managed AI models to analyze content and automate business decisions. We knew we could have that kind of huge impact with other innovation,” says Ryan Smith, Vice President of Online Operations at ShopGoodwill.com and Goodwill of Orange County. The nonprofit is working with Microsoft Tech for Social Impact to develop and deploy an app built on Azure AI Services to streamline the ShopGoodwill.com listing process, increase employment opportunities, and grow the s. Business results include since posting items will become easier and faster, ShopGoodwill.com will be able to direct more product to its e-commerce site—again, leading to higher revenue to fund the Goodwill mission.

Solution architecture

1 components · 1 layer
  1. Compute
    • Azure AI Services Applies managed AI models to analyze content and automate business decisions.

Architecture clues

  • The implementation relies on Azure AI Services as a core technical building block.

Evidence from the source

Goodwill of Orange County has worked with Microsoft since 2018 to modernize ShopGoodwill.com, enabling it to scale.
Since posting items will become easier and faster, ShopGoodwill.com will be able to direct more product to its e-commerce site—again, leading to higher revenue to fund the Goodwill mission.
To expand the pool of people ShopGoodwill.com can employ, and to grow revenue used for its mission, Goodwill of Orange County developed an AI-powered app.
While the 150 independent Goodwills in the US generate the bulk of their revenue from in-person shopping at retail stores, the online portal supplements this income to support local programming, from youth camps to emplo
“We knew we could have that kind of huge impact with other innovation,” says Ryan Smith, Vice President of Online Operations at ShopGoodwill.com and Goodwill of Orange County.
Transparency Evidence & methodology 80/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value80/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale0/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Goodwill of Orange County customer story

    First-party
    https://www.microsoft.com/en/customers/story/1772353582649569700-ocgoodwill-azure-ai-services-nonprofit-en-united-states
    Source type
    Vendor-published customer story
    Published
    May 24, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page May 24, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.