A little over two months ago, 14 German retailers (including the likes of Lidl, Edeka, and Rewe) signed a voluntary agreement in Berlin to reduce food waste by 30% by 2025 and 50% by 2030.
As part of this agreement, they have all committed to a series of core actions, including:
Whilst these are noble and needed steps, they are also challenges that the food retail industry has been trying to solve for a long time. The problem is that there is a very fine balancing act retailers must undertake to achieve these goals and remain profitable.
If we take availability as an example, it’s natural to want to maximize sales across all of your products. This requires a consistently high level of availability to ensure customers can buy what they want, when they want.
To achieve this, you need to balance your inventory records, online and offline operations, as well as prioritize your staff to the most beneficial actions.
Job done? Not quite, this focus on product availability will always lead to an increase in waste levels, something this pact is looking to avoid.
It’s unfortunately never black and white, and even within this availability scenario, the levers you are trying to balance are challenges in their own right:
So, what must these 14 retailers do to accelerate their solutions to these perennial problems? The answer will most likely lie in the adoption of artificial intelligence (AI) or machine learning (ML) driven technology - in-house or through a partner. There are a lot of innovative solutions out there, including cameras and robotics, that can look to solve these problems.
However, it's important to note that many of these solutions lack an appreciation of the art of retail, and this is key. The successful solutions are built on a fundamental understanding of the nuances and complexities that come with the retail industry. Without this, they are destined for a short shelf-life.
At Retail Insight we refer to this approach as cognitive technology, the art of augmenting complex learning models with human subject matter expertise.
This approach allows us to realize latent opportunities within retailers’ data to address the complex ecosystem of challenges. From balancing waste and product availability to improving staff productivity, we leverage data-led insights to create scalable and easy-to-integrate solutions.
Our cognitive technology approach has enabled our customers to realize a myriad of benefits including:
I think this approach would serve to benefit all German retailers, not just those involved in the pact. So, it will be fascinating to see how they evolve their thinking.
If you would like to learn more about Retail Insight and our answer to balancing high availability with waste reduction, you can visit us at the ECR days in Frankfurt on the 13th and 14th of September 2023, by following this link.