GSK used Sproxil Defender to assure their patients of the quality of their products and avoid costly impacts to their brand.

HERE'S HOW WE DID IT!
THE CHALLENGE
Counterfeiting puts even the most established brands at risk due to the devastating impacts to human wellness. Fake products, especially pharmaceuticals, can have severe life-altering effects. Due to the complex nature of modern supply chains, many brand owners struggle to accurately quantify the magnitude of counterfeiting in their supply chain, opting to minimize the size of the problem and hope against negative publicity. Every profitable industry is plagued with counterfeiting risk – from high-end luxury goods to affordable pharmaceuticals. Consumers demand today’s brands to show transparency and authenticity.
THE SOLUTION
Sproxil Defender, a point-of-sale product verification solution, empowers consumers to use their own mobile phone to instantly identify genuine products in the marketplace and grow the trust they have in your brands. With any smart or feature phone, consumers can reveal a tamper-evident single-use code and send to Sproxil via WhatsApp, app, call center, short code, USSD and more. Consumers receive instant confirmation that the product comes from you, and you can now stay in touch directly with the consumer, if desired, to offer reorder reminders, product use tips and coupons.
How it works

1

Plan
Sproxil provides globally-unique codes for each product unit. Codes can be delivered as labels. Each code is covered with a tamper-evident layer for additional security. Coded products are shipped through the distribution network to the point of sale

2

Engagement
Each distributor, wholesaler, retailer or influencer can send back the unique code or a picture of the invoice, and Sproxil’s AI service appropriately credits the supply chain partner for the transaction. Partners unlock exciting rewards at milestone tiers

3

Results
The verification transaction is also logged in Sproxil’s online portal, allowing brands to monitor genuine purchases and flag suspicious activity patterns in real-time


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