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Apple Premium Partner cuts grading discrepancies by 82% with AI-powered trade-ins
A controlled comparison reveals how Vision AI transforms trade-in economics for Apple’s retail partners.
Challenge
iStorm, an Apple Premium Partner (APP), operated a trade-in program that relied on manual device assessment. The process was slow, inconsistent, and created friction at the point of sale. Grading discrepancies led to pricing disputes, while lengthy wait times discouraged customers from completing trades. The program existed, but it wasn’t performing as a meaningful driver of customer acquisition or sales.
iStorm needed to understand whether automation could fundamentally change these dynamics not through assumptions, but through measurable comparison.
Solution
iStorm partnered with Pandas to run a controlled study comparing manual trade-in assessment against AI-powered grading using Vision AI. The study measured impact across four key metrics: grading discrepancy rates, overall program performance, offer-to-completion conversion, and customer waiting time.
This wasn’t a pilot but a direct comparison designed to quantify the real-world difference between manual and automated approaches in an Apple retail environment.
-82% reduction in grading discrepancies.
With no hardware requirements beyond an iPad, Orange implemented Vision AI quickly and efficiently across all locations.
Significant performance uplift versus manual process
The speed and reliability of automated grading transformed how iStorm viewed their trade-in program. With confidence in the platform’s performance, they began using trade-ins as a customer acquisition tool—layering additional coupons and offers on top of trade-in values to drive new business. For Apple Premium Partners competing on experience, this shift turned a back-office process into a front-line sales driver.
73% average offer-to-completion rate
Nearly three-quarters of customers who received a trade-in offer completed the transaction—with a strong upward trend as the program matured. AI-powered grading gave customers confidence in the fairness of their offers, reducing abandonment.
Reduced waiting time
The automated process eliminated the delays inherent in manual inspection. In a premium retail environment where customer experience is paramount, faster transactions meant smoother sales cycles and higher throughput
About Pandas
Pandas builds the technology that powers device programs. Vision AI delivers automated device grading through computer vision—enabling telecom operators, retailers, and OEMs to create trade-in, insurance, and buyback experiences that drive adoption, increase conversions, and protect margins. The platform is trusted by leading operators across Europe and beyond.
