Unlike any other product, the sensitive nature of their inventory meant that they needed to handle a specific set of processes. This meant that the traditional supply chain systems are not well-suited to the needs of their business.
On top of that, it is absolutely critical that their product reaches the customer within a specific period in order to have it fresh and clean.
They need multiple systems that ensure all the data is synced properly in real time with absolutely quality. This is across procurement, inventory, sortation, logistics and quality. They also have prediction systems that consume the supply chain data in real-time and take purchase, transport and sales decisions. This asks for high quality data coming from their supply chain.
While the team built most of the intelligence systems in house to cater to the needs, they needed to build a large number of very specific applications for execution at different centers and capture high quality data.
Even with the large team, this is a lot of investment across development and maintenance.