According to The Food & Agriculture Organization of the United Nations, we lose 20-50% of food resources each year (including grain crops, fruit, vegetables, oilseed crops, meat, fish, and dairy products). Imagine the huge amounts of money these establishments regularly lose due to this. Isn’t this enough reason to start thinking about the optimization of manufacturing and logistic processes? In particular, let’s discuss the role of artificial intelligence and robots in food manufacturing.
Food & Beverage Industries Can Be Solved Via AI & Robotics
There are several process-related issues in the food and beverage manufacturing industries, such as product description errors, instability of raw material pricing, flawed accounting systems, equipment failures due to the neglect of raw material and final product storage norms.
Moreover, a good part of the products are usually defective, the human work performance may not be intense enough while working capacities at hand are more than sufficient. All these nuances directly affect the financial state of the company, frequently making the whole manufacturing process unprofitable.
Fortunately, the technological progress doesn’t stand still and nowadays such issues are quite accessible and affordable to solve by implementing food robotics automation solutions and big data processing tools.
Implementing Automation & AI in the Foods Industry
To optimize workflow and solve manufacturing issues, a company needs to first decide on the budget and terms.
Once the budget and terms are decided, you will have two options:
- Integrate a readymade solution (mostly, pre-made robots in food service are sold as they are utterly cost-efficient even the short-term perspective)
- Develop a custom product based on the accumulated data and particular business specifics (such solutions require significant investments and fit the realization of long-term company goals best).
No matter which route you pick, you have to also keep in mind that along with the integration of the new toolset (software and/or hardware), you will have to think about the formation of the workers’ staff. This, in turn, leads to additional expenses.
Nonetheless, despite the seeming complexity of the whole affair, a proper reorganization of workflow with the employment of food industry automation software and hardware significantly lower risks related to the human factor and facilitate business scaling.
If we talk about particular cases of progressive solutions based on AI and robots, we can highlight the following systems:
- Error-predicting systems based on Big Data & AI
- Food robotics market solutions (including the ones based on the Internet of Things concept)
- Product & raw material inventory systems based on Big Data & AI
- Logistic systems based on the IoT, cloud computing, artificial intelligence, Big Data, etc.
Read our blog on Linear actuators for the agricultural industry to know more about how linear actuators can be used to automate agricultural and food industries.
Any one of the above-mentioned solutions will be quite efficient in systematizing the manufacture, making it more cost-efficient.
Generally speaking, the global goal of integrating the discussed automation solutions (like the mentioned robots in the food industry) is quite reachable due to the astounding world demographics forecasts. The thing is, by 2050, the world population will have reached 9.7 billion people, which means that the food manufacturer will need to be boosted by a whole 70%.
That’s why in the long-term perspective, the reorganization of the common workflow in establishments, as well as food robotics startups can help solve something far more serious than mere irrational work power distribution or food spoilage.
Artificial intelligence and robots slowly but steadily and radically transform the industries of food and beverage manufacturers. On top of that, automation of certain product development stages boosts the overall performance of establishments leaving the usual expense rates untouched or even lowering them.