b2b marketpython & djangocrm for dealersmultiple languages and currencies
For 10 years, we have been cooperating with the French company Exapro, which mediates the sale of second-hand machinery. We have developed a worldwide B2B marketplace for them in several languages, currencies and dimensional units. It is visited by 400,000 users a month, we keep the software at the forefront of technology, and Exapro appreciates the long-term cooperation on the global project so much that it has offered us a stake in the company.
"Exapro first approached us in 2012 with a demand for a new B2B marketplace. At the time, it had software written in PHP that worked, but its architecture and UX limited the company's development."
One of many examples: when processing orders, Exapro employees always had to click on something, and saving as little as 10 clicks in each business case saves 20 salespeople hours of work per month. These can be used, for example, to reach new customers or take care of existing ones.
A French company selling used machinery and equipment for various industries. Exapro operates an international B2B e-marketplace with 400,000 users per month, where companies sell or search for presses, CNC machines or entire production lines.
Exapro employees provide advice on choosing the right machine and facilitate communication between seller and buyer. Acquisition of an industrial machine requires professional assistance, e.g. with verification of functionalities and technical parameters. It's not nearly as easy as purchasing an item in an e-shop.
Together with the client, we analysed the processes down to the smallest detail and designed a system that:
It was thus a combination of a customised CRM system with a B2B electronic marketplace, where a person from one company enters data about the machine being sold, a person from another company (even on the opposite side of the globe) finds the machine and they strike a bargain.
The software therefore had to manage, among other things:
Thanks to scoring, Exapro employees can tell which client sells or buys often in the market. The system calculates customer scoring, for example, based on sales volume or average value. The buyer can thus easily verify the credibility of the seller and Exapro consultants can see which business case they should give higher priority to.
We have further increased the benefits of the SW solution by adding jointly designed additional functions. Noteworthy is the connection with the Active Campaign system, which has streamlined the distribution of newsletters and the "scoring" of business cases.
That's why in 2019 we embarked together on a major upgrade of the system, including its core.
Exapro is one of those companies with enlightened management, which realizes that even software working great needs updates and development.
When developing the first version of the Exapro application, we placed great emphasis on technical analysis and regular consultations with their project manager and sales team. That is how we managed to cut the acceptance phase in half.
Exapro addressed us with the first request
technical analysis and start of development
completion of development, subsequent updates and maintenance of the application
update to Python 3 + Django
new Exapro version, update to version 2.0
We developed, tested and deployed the first version and the results were soon apparent:
But we are most pleased that after 10 years of intensive cooperation, we have great
relationships with Exapro and their confidence.
We even received an offer from Exapro to buy a smaller share in their company,
which we took up with pleasure.