CASE STUDY

Food and Beverage Analytics in Big Data Developed a New Flavor Profile from Flavor Pallet Data 

Aug 11, 2022

Highlights of the Case Study: 

Particulars Description 
Client A major Canadian multinational food and beverage manufacturer wanted to identify flavor profiles for a new product. 
Business Challenge Our client wanted to launch a new snack flavor that would align with consumers’ flavor preferences, explore flavor profiles, and create the final formulation. 
Impact Quantzig offered the client an AI-driven big data analytics solution that analyzed consumer preference and flavor pallet data. These insights were used to identify ingredients for new flavor profiles and develop a unique flavor.  

Game-Changing Solutions for the Food and Beverage Industry   

The food and beverage industry (F&B) is a highly competitive sector where manufacturers continually reinvent their existing products or provide entirely new food products at a competitive price point to remain viable. Most manufacturers rely on traditional and time-consuming methods to develop unique flavor profiles, candidate formulas, and flavor samples. Manufacturers conduct consumer and laboratory tests on the samples and arrive at conclusions using the same old-school methods. However, big data analytics solutions can help food and beverage manufacturers expedite the process and cater to the demands of consumers in real-time.  

F&B companies that embrace the latest technology for product development are more likely to remain competitive in the new digital economy. F&B product developers use a collection of information, including data on past flavor formulae, consumer test results, experimental test findings, consumer taste preferences and palettes, and commercial performance and acceptance of the flavored product before launching a new product. This data can be examined through advanced machine learning (ML) techniques to obtain combinations that can be used to create unique flavor profiles. Quantzig’s big data analytics solution helps F&B product developers identify and create new flavors and can help launch the product in record time.  

The Challenges of the Client 

Our client is a leading Canadian multinational food and beverage manufacturer with a successful line of snack products. However, the client wanted to identify and launch new flavor profiles for its upcoming products. The client approached Quantzig for tailor-made big data analytics solutions capable of exploring various flavor profiles effectively and creating the final formulation. The client also wanted to develop its first snack made with AI and launch it in the Canadian market. 

The client was also struggling with several issues such as resource requirements, supply chain management, food sorting, food safety breaches, cleaning machinery and equipment involved in food production, along with excessive time consumption during new product development and a lack of development of new recipes guided by consumer guides.  

Quantzig’s Food and Beverage Analytics in Big Data for F&B Manufacturers 

Quantzig experts deployed an AI-driven big data analytics solution that analyzed consumer preference and flavor pallet data, data generated through surveys, focused groups, and tasting panels. The big data analytics solution examined client flavor databases and combined them with marketing and sales data to recommend customer preferences based on demographics. Additionally, the solution created by our experts helped identify potential ingredients for new flavor profiles and eventually develop new products.  

Our AI system also benefitted the client by enhancing the forecasting precision to help manage inventory while maximizing warehouse capacity to reduce costs. It helped reduce the risk of food safety breaches and streamlined the cleaning and maintenance of machinery.  

Impact Analysis of Quantzig’s Big Data Analytics in the F&B Industry  

Quantzig’s food and beverage analytics in big data leveraged the client’s flavor databases and combined them with marketing and sales data to recommend customer preferences based on demographics. We offered big data analytics solutions that helped the client achieve high ratings for the newly identified flavor profile. Our solution also helped reduce maintenance costs by 18% to 25%, optimizing the client’s operations and maximizing profits. Besides these benefits, Quantzig’s solution impacted the client’s business in the following ways: 

  • Enhanced forecasting precision to help manage inventory while maximizing warehouse capacity to reduce costs 
  • Decreased the time taken for food sorting with AI assistance 
  • Reduced food safety breach risks 
  • Implemented an efficient cleaning process  
  • Detected quality issues in real-time 
  • Anticipated problems with machine performance 
  • Decreased product development time by 50% 
  • Reduced maintenance costs by 18% to 25%   
  • Reduced water consumption in production by 20% to 40% 

A Broad Perspective on the role of Big Data Analytics Solution in the F&B Sector: 

Over the last five years, big data analytics has gained prominence for flavor and ingredient discovery in the F&B sector due to a rise in the number of F&B manufacturers utilizing AI systems to forecast consumer preferences and dietary trends. New product development is essential to remain competitive in the F&B sector as several manufacturers in the industry offer similar products in the same product segment, making it necessary for the manufacturers to opt for big data analytics and provide differentiated products. Quantzig’s extensive data analysis solutions also effectively track shipments in the supply chain, improve food safety, and facilitate complete transparency. 

Key Takeaways 

  • Evaluate consumer preference and flavor pallet data to launch a new snack flavor 
  • Achieve high ratings for the newly identified flavor profile  
  • Decrease product development time 
  • Optimize shipment tracking in the supply chain 
  • Develop new recipes 
  • Reduce maintenance costs 
  • Minimize cleaning time and water consumption 

Related articles: 

Predicting Emerging Flavors and their Sales for a European Food & Beverage Company 

Manufacturing Analytics Solutions Enabled F&B Manufacturer Stabilize Profit Margin 

How Trade Promotion Effectiveness Analytics Helped a Food Supplements Manufacturer Achieve a 41% Increase in Net Profits 

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