Live at GS1: Driscoll's Gives a Billion Clamshells Unique IDs

The fresh berry juggernaut had more than two million consumer survey responses, but no way to act on any of them. Changing that now is item-level serialization via one unique QR code per clamshell, across four thousand growers and a billion packages.

A Driscoll's blueberry clamshell carrying two QR codes — one pre-printed on the brand label, one applied at the farm. Together they're central to a serialization program that has given more than a billion packages a unique, traceable identity.
A Driscoll's blueberry clamshell carrying two QR codes — one pre-printed on the brand label, one applied at the farm. Together they're central to a serialization program that has given more than a billion packages a unique, traceable identity.
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Herb Wong of Antares Vision quickly sorted the working relationship between he and his client Dana Biancardi of massive berry producing brand Driscoll's.

"She's Batman," said Wong, chief customer officer at Antares. "I'm Robin."

The arrangement remains after about five years, the span of what they call one of the most ambitious serialization projects in fresh produce history. Biancardi, senior program manager at Driscoll's, represents the business outcomes and operational reality. Wong handles the technical architecture, making it function at scale.

Together they've put a unique, serialized identity on more than one billion clamshells of strawberries, raspberries, blackberries, and blueberries, including production throughput above 50 million serial numbers/month and a migration to fully GS1 Digital Link-compliant codes now underway.

The project isn't finished, but what they've built is already rewriting what is possible for a fresh produce brand trying to close the loop between the farm and the consumer.

Two Million Unactionable Survey Responses

Driscoll's sources from more than 4,000 independent growers across the U.S. and Mexico, and its berries move through thousands of retail locations globally. By its own estimate, the company receives more than two million consumer survey responses per year, but it couldn't act on the direction those results gave.

"Consumers say 'we love your berries,' but that information was useless, because you don't know the variety, you don't know where those berries came from," said Wong.

PTI labels on the trays carried supply chain data, but once merchandisers broke them down at retail, that connection was gone. "So harvest date, there's no way to track that," said Biancardi. "Variety information, field conditions, the producing area... we really have no way to link that info back to a product."

Without traceability to the source, quality problems couldn't be attributed to specific farms, fields, or varieties. High-performing growing conditions couldn't be isolated and replicated. The company was, to paraphrase Biancardi, flying blind by making important decisions from a minuscule amount of feedback.

"We can't know what we don't know," she said. "And we aren't able to improve the things that are working well and stop the things that maybe aren't working well."Antares Vision Group calls it the trade-off triangle: 99% scanning accuracy, sub-second throughput, and consumer-grade hardware. Those three requirements that typically require picking two. The project delivered all three, finishing at 98.7% accuracy and a 0.55-second average scan time on Zebra devices.Antares Vision Group calls it the trade-off triangle: 99% scanning accuracy, sub-second throughput, and consumer-grade hardware. Those three requirements that typically require picking two. The project delivered all three, finishing at 98.7% accuracy and a 0.55-second average scan time on Zebra devices.

Give Every Clamshell an Identity

The idea was to give every individual clamshell a unique identifier (grounded in GS1 standards, but not yet Digital Link) linking it back to its specific variety, grower, harvest event, and field block. When a consumer scans the QR code and submits feedback, that response attaches to an actual clamshell, farm, or harvest date, not a generic survey database.

Driscoll's brought in Antares Vision Group, a global provider of supply chain traceability solutions for regulated industries, to take over a serialization project that had already been attempted and had stalled at 40% scan accuracy. The incoming team was presented with three requirements that, taken together, defined what Wong calls the trade-off triangle.

Good, cheap, fast? Pick two. I can deliver any two. But we actually had to deliver all three, and that was something quite challenging.

The first requirement was 99% scanning accuracy across millions of items under active field conditions. The second was sub-second scan speed — throughput could not slow the harvest. The third was compatibility with consumer-grade smartphones, given the cost constraints on hardware across thousands of farms.

"If you want 99% accuracy and you want me to do it in less than a second, then give me the flexibility to get the best cameras or scanners," said Wong. "If you let me pick the hardware, I can do that without budget constraints. But if you say you have a budget and you need me to hit 99%, and you can't get better hardware — I can do that. But it's going to be a slower scan."

This was one of those projects that required all three.

Marketing's Percceived 'Pimples'

Before the field scanning could even begin, there was a packaging design hullaballoo.

The QR code that each clamshell would carry had to be as large as possible for cameras to reliably detect it under variable field conditions. That included different lighting, different scan angles, dusty or dirty or wet surfaces, or a human harvester moving quickly through the field. The marketing team said not so fast.

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