Artificial intelligence is good and bad
We are coming to an end of our weekly newsletters focused on our 2025 trends. We have had a few interruptions to deal with the trade situation, but we are now at the last of our trends. We hope this has helped you take a step back and focus on where our industry is going and guide some of the decisions in your business.
Artificial Intelligence in your business
The impact of artificial intelligence (AI) on our industry is not news. The challenge is how do you incorporate it into your business and where you draw the line. We have seen everything from AI developed products to entire media campaigns developed with this technology. The success of these examples might be questionable, but it is happening and costs a lot less than the more traditional methods. In our business we have chosen to use AI where we can automate proven processes and reduce repetition. We do not want it to replace critical thinking and give you content that comes from the same resource everyone else has access to.
The good
There are many applications of AI that are positives for your business. In business today it is probably difficult to find a business that does not use some form of AI. The applications we use to write the newsletter and format it use AI to correct spelling, suggest words (which I find frustrating) and keep track of our email list. There is no doubt it makes things more efficient.
If you are using Chat GTP or one of the other AI applications, you can ‘train’ it to write in your voice. You do this by asking it questions and refining the copy you get from it. You have to tell the application to use more humour or more fact-based arguments. It is very interesting to see how it does evolve. You have the ability to save this ‘voice’ so that when you get something the next time it will learn from the prompts you have provided and write with these guidelines. This can be very helpful when you are trying to write copy for social media posts or other communication.
Chat GTP is a great search engine. When using Google or Safari or any other search engine you need to know what you are looking for. You will find information or articles but then you need to read them. When you use one of the AI applications it will search the documents for you and provide a summary. You can also tell it to include sources, so you know you are getting something from a reputable place.
We use the AI meeting summary in zoom. This provides you with a detailed summary of the meeting. If you want to keep summaries or track the conversations it does a very good job. In the ‘old days’ we used to have to have someone take notes. It was a challenge to participate in the meeting and take notes. Now we can use the AI summary.
Many of the AI applications are great for generating ideas. You can ask them to come up with any list of ideas for almost any subject. It is great for starting the conversation.
Proofreading is one chore that can be a challenge, especially if you are writing your own content. AI applications can proof read your writing. There is an argument they can do it better than you, if you are the author. Keep in mind they might not use the same spelling we use in Canada, but you can train them for that too.
There are so many other examples of AI in production, processing, manufacturing and logistics. We are not the experts at those but they have probably been in your business for a while.
The bad
We do believe we should be wary of losing the power of critical thinking. When people rely on AI to do a lot of things it is true they accomplish a lot, but we do have to balance quantity with quality. People can assess all of this information and really determine if it is the correct voice for the brand or even consider how customers and consumers might react.
There is a lot of mis information generated by people and by AI. We have to be careful not to assume everything coming from an Ai application is correct and ‘run with it’.
With lots of years of experience, one has to be careful about assuming the old way is better or ‘this is not how we used to do it’. I must do my best to be objective and try new things. There is no doubt it is here to stay; we just have to figure out the best uses and boundaries.
You can generate a lot but you do have to still check it and give it that sober second though to make sure it is correct and using the right voice for your brand or your business or you.
We do think about too much reliance on AI from different businesses will result in a sea of sameness. If everyone is going to AI to generate lists of recipes or product uses, will they all become more or less the same? A possibility for sure and one to watch out for.
An experiment
We asked Chat GTP to do the following: Write a 900 word article for food producers and processors in Canada about the use of artificial intelligence in their business. Here is what we got, in about 90 seconds. Yes, it is faster, and we did not go back a number of times to refine the voice. It does focus on different topics than we did, but it does not provide any alternative views. The critical thinking we believe is important. We could have asked for that but should we have to ask?
The Future of Food: How Artificial Intelligence is Transforming Food Production and Processing in Canada
Artificial intelligence (AI) is revolutionizing industries worldwide, and the food sector in Canada is no exception. From precision agriculture to automated food processing, AI is helping businesses improve efficiency, reduce waste, and meet consumer demand for high-quality, safe, and sustainable food products. This article explores how food producers and processors in Canada can leverage AI to optimize operations, enhance product quality, and stay competitive in an evolving market.
AI in Food Production
Agriculture is the backbone of Canada’s food industry, and AI is playing a crucial role in transforming how food is grown and harvested. Farmers are increasingly adopting AI-driven technologies to enhance productivity, conserve resources, and mitigate risks.
1. Precision Agriculture
AI-powered tools help farmers make data-driven decisions to optimize crop yields. Machine learning algorithms analyze vast amounts of data from drones, sensors, and satellites to provide real-time insights into soil health, weather patterns, and pest activity.
Soil Monitoring: AI systems analyze soil composition, moisture levels, and nutrient deficiencies, allowing farmers to apply fertilizers more efficiently.
Crop Health Analysis: AI-driven image recognition can detect plant diseases and pest infestations early, reducing reliance on chemical pesticides.
Yield Prediction: AI models predict harvest yields with greater accuracy, helping farmers plan logistics and reduce food waste.
2. Automated Harvesting
Labour shortages are a major challenge in Canadian agriculture. AI-powered robotic harvesters, equipped with computer vision, can identify and pick ripe produce with precision, reducing the need for manual labour while ensuring consistent quality.
3. Livestock Monitoring
AI is improving animal welfare and productivity on Canadian farms. Smart sensors and cameras track livestock health, detect signs of illness, and monitor feeding patterns, enabling farmers to take preventive action before issues escalate.
AI in Food Processing
Once raw ingredients are harvested, they undergo processing before reaching consumers. AI is optimizing food processing operations in various ways, from quality control to supply chain management.
1. Smart Sorting and Grading
AI-powered imaging systems and robotics help food processors sort and grade products based on size, colour, and quality. This ensures uniformity in food products and minimizes food waste by repurposing suboptimal items for alternative uses (e.g., processing into sauces or animal feed).
2. Automated Quality Control
AI-driven computer vision technology inspects food products for defects, contaminants, and inconsistencies. High-speed cameras capture images, and AI algorithms analyze them in real-time to detect foreign objects, mould, or damaged items, ensuring compliance with safety and quality standards.
3. Predictive Maintenance
AI helps food processors prevent equipment failures by analyzing sensor data from machinery. Predictive maintenance reduces downtime, minimizes repair costs, and improves overall operational efficiency.
4. Supply Chain Optimization
AI enhances supply chain management by predicting demand fluctuations and optimizing inventory levels. AI-driven analytics help food processors reduce overproduction, minimize storage costs, and ensure timely deliveries to retailers and consumers.
AI in Food Safety and Compliance
Ensuring food safety is a top priority for Canadian food producers and processors. AI is enhancing food safety protocols by detecting contaminants, tracking products throughout the supply chain, and ensuring regulatory compliance.
1. AI-Based Contaminant Detection
AI-powered sensors and scanners can detect contaminants such as bacteria, allergens, and foreign particles in food products. These advanced detection systems improve food safety by identifying potential hazards before products reach consumers.
2. Traceability and Blockchain Integration
AI combined with blockchain technology enhances traceability in the food supply chain. This allows food producers and processors to track products from farm to table, ensuring transparency and quick responses in case of recalls or foodborne illness outbreaks.
3. Regulatory Compliance
Canadian food regulations are stringent, and AI can help businesses stay compliant by monitoring and analyzing production data. AI-driven software can flag potential compliance issues and generate reports for regulatory audits, reducing the risk of legal penalties.
AI in Consumer Insights and Personalization
Understanding consumer preferences is crucial for food businesses. AI enables companies to analyze market trends and tailor products to meet evolving consumer demands.
1. Personalized Product Development
AI analyzes consumer data to identify trends and preferences, helping food companies develop personalized food products. For example, AI can suggest new flavour combinations based on social media trends and purchasing habits.
2. Dynamic Pricing
AI-driven pricing algorithms adjust prices based on demand, competition, and market conditions. This helps food producers and processors maximize profitability while offering competitive prices to consumers.
3. Smart Packaging
AI-powered smart labels and packaging solutions provide consumers with real-time information about product freshness, nutritional content, and origin, enhancing transparency and consumer trust.
Challenges and Considerations
While AI offers numerous benefits, Canadian food producers and processors must also navigate certain challenges when implementing AI technologies.
1. High Initial Investment
AI adoption requires significant investment in technology and infrastructure. However, government grants and incentives may help offset these costs.
2. Data Security and Privacy
AI relies on large datasets, raising concerns about data security and consumer privacy. Businesses must ensure compliance with data protection regulations when implementing AI solutions.
3. Workforce Adaptation
AI-driven automation may reduce the need for certain manual jobs but also creates demand for skilled workers who can manage and maintain AI systems. Workforce training and reskilling initiatives will be crucial.
The Future of AI in Canada’s Food Industry
As AI technology continues to advance, its impact on the food industry will only grow. Emerging innovations, such as AI-driven food formulation, robotic kitchens, and sustainable packaging solutions, will further transform how food is produced, processed, and consumed in Canada.
To stay competitive, Canadian food producers and processors must embrace AI as a strategic tool for improving efficiency, enhancing food quality, and meeting consumer expectations. By investing in AI today, businesses can position themselves at the forefront of a smarter, safer, and more sustainable food industry.
Conclusion
AI is reshaping the food sector in Canada, offering opportunities for increased efficiency, better quality control, enhanced safety, and greater consumer satisfaction. While challenges exist, the benefits of AI adoption far outweigh the risks, making it a crucial investment for the future of food production and processing. Businesses that harness AI’s potential will be better equipped to navigate industry challenges and capitalize on emerging market trends, ensuring long-term success in a rapidly evolving landscape.
The balance
We work hard to position SKUFood as an excellent resource for small to medium sized food producers and processors. The content we develop is based on actual experiences and what we see happening in the industry right now. Hopefully that is worth something and now all available in a quick search on Chat GTP.
No doubt we use AI applications to enable us to do what we do. We also review what we do and give it the critical thinking test to ensure it is right, from our perspective, for the industry today.
Peter
SKUFood Recipes for Success Podcast
In this episode, we're delighted to sit down with Carly, a culinary innovator on a mission to elevate kitchen experiences through the power of mustard. As she embarked on her journey towards obtaining her Red Seal Certification, Carly discovered the transformative potential of mustard as a culinary secret weapon. With a simple spoonful, she realized how mustard could effortlessly elevate familiar dishes to new heights of flavor and complexity.
Drawing on her expertise as a trained chef, Carly has embarked on an entrepreneurial venture, carving out a niche in the local food market for high-quality mustard. Her creations not only cater to seasoned chefs but also invite enthusiasts of all cooking levels to experiment and explore the culinary magic of mustard. Join us as Carly shares her insights, experiences, and the delicious journey she's undertaken to fill the mustard gap in the food market, inspiring us all to embrace the simple yet profound impact of this versatile ingredient in our kitchens.
Canadians looking for Canadian products
There is no doubt about the shift in consumer behaviour. Canadian consumers are looking for products produced in Canada by Canadian companies. We have had lots of inquiries about this. We know packaging cannot change quickly. It is work and it is expensive. You also probably have some on hand. Some things you can be doing to help consumers understand:
If you use a safety sticker as you pack product, get them printed with a maple leaf or other message about Canada
Visit stores to ensure they are using signage to tell consumers your product is made in Canada by Canadians. They are trying to do this, but it isn’t easy. Provide support where you can.
Partner with other suppliers to share the cost of getting the message out. Maple Leaf are doing it!
Do not be shy online. You should be reinforcing this every chance you get.
Check retailer’s online platforms to make sure your products are labelled correctly as Canadian.
If you have changed your packaging or have other ideas let us know!
I do have travel coming up to Toronto and Guelph so if you want to connect or have an event in any of these locations give me a call or send me an email.