Sonepar
Sonepar plugs into a new era of freight matching with Transporeon Freight Procurement
About Sonepar
Sonepar France was founded in 1969 by Henri Coisne. It remains a family-owned business, but is now the world’s number one distributor of electrical equipment, generating record sales of €32.4 billion in 2022.
However, Sonepar is not all about big bucks. In that same year, the company launched its Green Offer to allow customers to purchase products based on a sustainability rating. They also had their greenhouse gas emission reduction targets validated by the Science Based Targets initiative (SBTi).
Sonepar in numbers:
- €60 million spent on transportation per year
- €32.4 billion sales
- 15,000 tonnes shipped annually in France
- 40 countries
- 80 brands
- 2,400 branches
- 170 distribution centres
- 44,000 employees
The challenge
Sonepar’s diverse product mix generates significant volume per delivery point, which led to logistical bottlenecks.
With their own transportation at saturation point, Sonepar turned to solutions such as chartering, which disrupted their ability to ensure Day +1 deliveries.
In addition, Sonepar grappled with office inefficiencies. Without a dedicated, automated platform they were unable to assess carrier responses collectively and maintain control over prices. This lack of homogeneity also made it hard to find new carriers and grow their supplier network.
The solution
Sonepar needed a digital freight match-making solution that would help them better manage their calls for tenders and expand their carrier network.
The answer was Transporeon Freight Procurement and in 2019 they implemented the platform into their daily operations, giving them a better overview of the responses and prices coming in from carriers. In addition, Freight Procurement’s ability to analyse huge amounts of data means they can eliminate tedious manual work.
The results
Sonepar has experienced tangible benefits through its collaboration with Transporeon.
The distribution company has managed to integrate new carriers into their network, and streamline the evaluation process.
This optimisation has resulted in a 40% reduction in response tracking time and a 50% decrease in compilation and analysis time.
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