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How the agriculture industry is using AI to buy and sell ingredients
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AI revolutionizes agricultural trade: Profile Print, a Singaporean startup, has developed technology to streamline the buying and selling of food ingredients, potentially reducing costs and environmental impact in the agricultural industry.

  • The company’s digital fingerprint technology quickly analyzes the identity and quality of ingredients, eliminating the need for physical sample shipments between buyers and sellers.
  • Profile Print’s platform allows agribusinesses to create custom AI models to assess raw ingredients and determine if they meet specific client preferences.
  • In 2024, the startup secured agreements with Brazil’s two largest coffee manufacturers and Instituto CNA, a government-backed institution representing Brazil’s agricultural sectors.

Traditional process vs. Profile Print’s solution: The current ingredient sampling process is time-consuming and resource-intensive, involving multiple rounds of physical sample exchanges between buyers and sellers.

  • Traditionally, buyers require physical samples before placing orders, often necessitating two to three rounds of exchanges.
  • For coffee, the conventional process involves roasting green coffee beans, grinding them to a specific size, brewing, cooling, and having a team taste the product before making purchasing decisions.
  • Profile Print’s technology digitizes food ingredients, allowing buyers and sellers to assess quality without shipping physical samples.

Environmental and economic impact: By eliminating the need for physical sample shipments, Profile Print’s technology has the potential to significantly reduce logistical costs and carbon footprint in the agricultural industry.

  • Agricultural businesses currently spend millions of dollars annually on shipping samples back and forth.
  • The reduction in physical sample transportation could lead to decreased fuel consumption and lower greenhouse gas emissions associated with shipping.
  • Streamlining the sampling process may also result in faster decision-making and more efficient trade negotiations.

Technological innovation: Profile Print’s patented digital fingerprint technology represents a significant advancement in food ingredient analysis and quality assessment.

  • The technology can quickly analyze the identity and quality of ingredients, providing a digital alternative to traditional sensory evaluation methods.
  • By creating digital profiles of ingredients, the platform enables more objective and consistent quality assessments across the supply chain.
  • The integration of AI models allows for customized analysis based on specific client requirements and preferences.

Market potential and industry adoption: Profile Print’s recent agreements with major Brazilian coffee manufacturers and a government-backed agricultural institution signal growing interest in the technology.

  • The adoption by Brazil’s largest coffee manufacturers could set a precedent for other players in the global coffee industry to follow suit.
  • The involvement of Instituto CNA suggests potential for wider adoption across various agricultural sectors in Brazil, one of the world’s largest agricultural producers.
  • As the technology proves its effectiveness, it may attract interest from other countries and agricultural sectors looking to optimize their supply chains.

Addressing global food challenges: Profile Print’s technology aligns with the need to improve efficiency in food production and distribution to meet growing global demand.

  • With an increasing world population, there is pressure to scale up food production while minimizing environmental impact and maintaining quality.
  • By reducing logistical inefficiencies, the technology could contribute to more sustainable and responsive food supply chains.
  • Improved quality assessment and matching of ingredients to buyer preferences could potentially reduce food waste and improve overall product quality.

Future implications for the agricultural industry: As AI and digital technologies continue to evolve, Profile Print’s solution may be just the beginning of a broader transformation in agricultural trade and quality control.

  • The success of this technology could spur further innovations in digital food analysis and virtual sampling methods across various agricultural products.
  • Integration with other emerging technologies, such as blockchain for traceability or IoT for real-time monitoring, could further enhance the capabilities of such platforms.
  • As the industry adopts these digital solutions, it may lead to new standards and practices in global agricultural trade, potentially reshaping traditional business models and supply chain relationships.
Agricultural businesses are using AI to buy and sell ingredients – meet the company powering the technology

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