On the eve of 2020, the world is in full expansion. We want things to be faster, better and more personalized. All over the globe, companies are looking for ways to be successful in the face of increasing demand-driven complexity. Many of them turn to agile transformation processes to make their businesses more futureproof. But are those really the key to victory?
We evaluated 10 projects in the agricultural and food sector that showcase the possibilities of applying blockchain technology and can help you to design better solutions, from top-down disruptors to bottom-up improvers and from provable successes to preventable failures.
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.
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.
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.
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.