Tech for good: Building eco-friendly into your brand

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Tech for good: Building eco-friendly into your brand
Creating a cleaner customer journey
Engaging with ethical consumers
Optimising operations through IoT
Changing the economics of sustainability

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These consumers recognise they have a social responsibility to reduce their carbon footprint and this is dictating their purchasing decisions, says Richard Baker, CEO of GeoSpock.
As consumers demand the demonstration of good corporate citizenship with a strong eco commitment, brands must strike the balance between what is right for their businesses with what is right for humanity and the environment.
But more needs to be done across the industry if brands are to remain in consumers’ shopping baskets.
Products must tell sustainable stories across the supply chain, allowing consumers to track this from production to delivery.
In Denmark, for example, the government is working with supermarkets on creating labels that explain food products’ carbon footprints.
While the idea of carbon labelling has been around for some time, there are very few brands that provide this level of visibility.
This intelligence can be used to give consumers an accurate view of where products have travelled.
Instead of simply enabling consumers to simply check brand credentials – such as safety certificates and distribution licences – QR codes can open apps that provide visualisations of product journeys.
Route maps can even show precise movement of shipments from source to store and provide compelling proof of supply chain integrity through leveraging vast sets of data on a product’s location and environment.
Armed with greater intelligence, brands have an opportunity to optimise their operations to achieve greater efficiency and demonstrate their commitment to sustainability.
By combining the data sets available, brands can improve distribution models.
Brands can use data from IoT-enabled devices such as connected cars, wearables and even the SIM cards that delivery drivers use.
Brands can analyse driver routes, calculate average drop times, dwell times, as well as distances between drops

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