Inconsistent pricing
Similar donated items may be priced differently across teams, stores, and channels.
Missed value
Items can be underpriced, sent to the wrong channel, or marked down too early.
Too many factors
Demand, condition, seasonality, inventory, channel, and local context all matter.
Manual processes
Pricing decisions can be time-consuming and hard to scale across locations.
How Dynamic Pricing Works
Collect item data
Brand, category, condition, and context.
Analyze signals
Market, inventory, demand, and local context.
Recommend price
Suggested price and confidence level.
Recommend channel
Store, e-commerce, specialty, or review queue.
Learn & improve
Review results to improve future recommendations.
What AI Considers
Brand
Category
Condition
Season
Store & region
Inventory
Sell-through
Price rules
Competition
Confidence
Outcomes You Can Expect
Improve pricing consistency
Support more consistent pricing decisions across stores and team members.
Recover more value
Identify items that may deserve a different price, channel, or review path.
Reduce avoidable markdowns
Help teams evaluate when price changes are useful versus unnecessary.
Support better channel fit
Compare store, e-commerce, specialty, and review workflows with more context.
Strengthen the mission
Explore pricing decisions that better support donated-goods operations and impact.
Real recommendations. Real review.
Dynamic Pricing can help teams review multiple pricing signals and understand why a price or channel recommendation may fit a donated item.
• Pricing recommendations with context
• Channel suggestions for review
• Confidence and explainability signals
Collaborate with ThriftMetrics
We work alongside Goodwill agency teams to evaluate practical AI opportunities, align pricing guidance with existing workflows, and support review-first pilots.
Let’s collaborate
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