Tha Challenges
To address the universal challenge of food waste, the grocery retailer wanted a view into how its time-and temperature-sensitive goods were transported and stored, aiming to improve its reputation for excellence by guaranteeing produce availability at peak freshness.
The Solutions
The Wiliot Intelligence Platform revolutionizes how grocery retailers monitor the temperature and location of their inventory, offering comprehensive insights down to the case level through automated, continuous monitoring and instant, actionable alerts.
How it Works
Wiliot IoT Pixels were applied to cases of strawberries, tracking their temperature and whereabouts from the distribution center, through transit, to multiple stores, providing high-resolution insights into the state of their goods.
The Outcome
The Wiliot Intelligence Platform promptly detected temperature and process compliance issues, allowing the retailer to tackle underlying problems as they arise, minimizing wasted inventory and ensuring fresher produce with more predictable availability.
The Benefits
Insights delivered by the Wiliot Intelligence Platform guaranteed that the retailer’s produce met the highest standards of freshness and quality, directly enhancing customer trust and enabling systematic elimination of food spoilage and waste causes.
When the lines between the physical and digital worlds are blurring.
Deloitte in collaboration with Wiliot
Cheap and battery-free Bluetooth-enabled tags with advanced sensor capabilities can fully automate data collection. This enables a plethora of use cases that up till now have not been feasible, viable, and desirable. This raises the question of how the challenges around data privacy, data ethics, and data exclusivity can be addressed?
The emergence of Bluetooth-enabled tags the size of postage stamps with advanced sensor capabilities makes it possible to fully automate data generation and collection. This enables a plethora of use cases that up till now have not been feasible, viable, and desirable1.
However, concerns relating to data ethics, data privacy, and data exclusivity for competitive reasons may hamper collaboration between participants in the supply chain and their pursuit of shared benefits, especially in the form of a more data-driven retail experience in response to the ever-growing focus on increasing share-of-wallet.
To address these concerns, this paper attempts to answer the following questions:
- Who owns the data generated by a tag?
- Which claims, if any, does the producer/manufacturer, retailer, logistics provider, or any other supply chain participant have on data generated by the other participants?
- Which types of data will the tag be able to collect that are either sensitive, private, or otherwise restricted by regulations?
- What incentivizes tag owners to share data?
This paper proposes the following design principles in response to the above concerns:
- Whoever owns the tag owns the data.
- Access to and ownership of (historic) sensing data should be determined by product characteristic.
- Consumers have to opt-in to use the tag they own.
- Companies must have clear ethical standards to build the trust required to allow the collection of data.
%201.svg){kind=icon}
%201.svg){kind=icon}
%201.svg){kind=icon}
%201.svg){kind=icon}
.svg){kind=icon}
.svg)
.jpg)
.webp){kind=logo}