Operational excellence in the food industry means at least two things: managing cost on the one hand, managing margins on the other. In times of global competition, long-term contracts and raw material price fluctuation, that’s quite the challenge. The key to amping up operational excellence? Expanding the scope from ‘within these walls’ to ‘end-to-end.’
Compliance is growing in complexity, especially for global manufacturers and distributors. In addition to legislative compliance requirements – which differ per country – and a whole range of certificates, there’s also an enitre set of (country-specific) standards by the retail industry that food businesses must comply with. Standards which are often more stringent than the legal framework.
These days, food manufacturers must be consumer-obsessed if they want to have a competitive advantage. Roughly speaking, this means two things. First, to know what the consumer is thinking and expecting, at all times. Second, to be able to meet those expectations, efficiently, compliantly, at healthy margins and above all: faster than the competition.
Manufacturers, retailers and growers have everything to gain from unlocking data in the supply chain – from field to fork – and sharing that data with each other: it’s a win-win for everyone involved. Consumers too are increasingly clamoring for more transparancy about the origin, authenticity and CO2 footprint of the products on the shelves.
A digital workplace project also requires solid change management. But where do you start? A brief exercise
A digital workplace project requires a solid user adoption plan. Eight tips to ensure that your end users actually use the new tools!
A digital workplace project requires a solid user adoption plan. Four good reasons why IT managers should take control of this
RPA is a technology for automating business processes by means of virtual software robots. These (sub)processes require manual intervention and steal unnecessary amounts of our time.
RPA bots automate simple and structured tasks. Result? Your employees are happier and have more time to make a difference, while RPA bots perform the routine tasks faster, more efficiently and cheaper.
There are many challenges in the business world. We will discuss four examples where Robotic Process Automation (RPA) can at least be part of the solution: war for talent, compliance, legacy and agility.
Classical RPA is limited to structured and relatively simple processes where little to no interpretation is needed, but what if we link up AI in the same process? Then we’re talking about cognitive RPA or Smart Process Automation.
In our ever-faster changing digital world, flexibility is a crucial differentiating factor. Agility can be the answer, but where to start?
