The Solution
AI Tools
The Solution
AI Tools
READY-TO-USE AI TOOLS
Blend
Tailored blend recommendations to achieve a target
Take the guesswork out of blend development with ProfilePrint’s AI-powered recommendation engine. By analysing your target profile, Blend suggests optimal combinations from your available inventory, before your experts test and approve the final blend.
Benefits:
- Accelerate blend development and time-to-market
- Balance cost and inventory, optimising resource allocation
- Combine AI-generated recommendations with human expertise to explore a broader range of possibilities
Use Case:
READY-TO-USE AI TOOLS
Match
BETA
Expedite discovery of new ingredients based on a target
Match analyses digital fingerprints to identify alternatives that align with your quality requirements. This tool expands your sourcing options and allows you to quickly pre-screen ingredients, empowering you to make more accurate purchasing decisions.
Benefits:
- Significant time and effort saved with target sourcing
- Buy more accurately, reducing risk of rejection
- Discover new sources you might not have considered
Use Case:
A premium tea supplier to global brands faced a critical supply chain challenge. Using Match, they rapidly identified alternative tea sources with matching flavour profiles. This enabled them to maintain uninterrupted supply to their global brand customers, compressing what would typically be weeks of sourcing into a streamlined process while maintaining their strict quality standards.
READY-TO-USE AI TOOLS
Plug-n-play models
CURRENTLY ONLY AVAILABLE FOR COFFEE
Ready-to-use AI models for immediate quality assessment
Gain immediate operational efficiency with pre-built ProfilePrint Plug-n-Play models to evaluate and screen ingredients against established benchmarks, or leverage partner-shared models to enhance understanding of quality standards and requirements.
FEATURED PROFILEPRINT MODEL
Arabic Green Bean Model
Cupping based on SCA standards
Leverage the combined expertise of Q-graders through our AI model, trained on over 20,000 coffee samples and counting. This model delivers comprehensive SCA-based quality assessments without roasting or cupping, providing neutral, data-driven evaluations that align with industry standards.
As of August 2024, Arabica Green Bean Model v10 has a RSME of 1.51.
Benefits:
- Predict coffee quality instantly based on SCA methodology
- Identify processing methods, moisture levels, and flavour notes
- Access consolidated expertise from global Q-graders
Use Case:
FEATURED PROFILEPRINT MODEL
CuPPAS
Cupping by ProfilePrint's AI Standard
Moving beyond traditional equal-weighted scoring, CuPPAS uses large data to calculate different weightages for the attributes according to how it contributes to final coffee experience by removing human biasedness and providing a more objective and consistent assessment, ultimately helping buyers to uncover coffee beans based on its true quality.
Benefits:
- Weighted quality scores that reflect true consumer preference
- Identify distinctive attributes that make each coffee unique
- Make objective purchasing decisions free from human bias
Use Case:
A coffee roaster discovered an exceptional lot from a new origin using CuPPAS, which highlighted unique qualities that traditional cupping might have overlooked, leading to a successful premium product launch.
READY-TO-USE AI TOOLS
Non-Visual Defect (NVD) Detection
CURRENTLY ONLY AVAILABLE FOR COFFEE
BETA
Detect non-visual coffee defects instantly, without roasting or cupping
ProfilePrint’s proprietary scanning technology identifies sensory defects in green coffee beans by analysing their digital food fingerprints, instead of relying on visual cues or on traditional sensory evaluation which can be onerous and subjective. This AI-powered analysis learns from your sensory panels, and enables high-volume screening while maintaining consistency and accuracy.
Benefits:
- Rapidly screen and identify sensory defects without the need to roast or cup
- Buy more accurately according to quality requirements
- Process more samples while maintaining accuracy
Use Case:
A leading Brazilian coffee exporter faced quality assessment challenges during peak harvest season. Using NVD trained on just 58 samples (10 clean, 48 defective), they achieved 80% accuracy in identifying clean cups and 83% accuracy in detecting defects across four defect types. This pre-screening capability enabled their quality team to focus expertise on the most promising samples, significantly improving operational efficiency during harvest season.
ADVANCED AI TOOLS
Build-your-own Models
Custom models tailored to your requirements
Develop custom models to categorise ingredients, or predict characteristics calibrated to specific business requirements and standards. This tool transforms your expert knowledge and quality standards into automated assessment capabilities. With guided assistance, you can develop custom models that scale your expertise across your organisation.
Benefits:
- Improve speed and accuracy in ingredient assessment, streamlining decision-making processes
- Build custom AI models without requiring extensive data science experience
- Complement human expertise with high-volume sample processing, reducing sensory fatigue and substance exposure
Profile
Scoring model to predict characteristics of an ingredient. Typically used to predict numerical scores or values for sensory parameters (e.g. aroma, aftertaste), moisture levels, and scores.
Use Case:
Beyond immediate efficiency gains, the model now serves as a valuable training tool for new tea tasters, ensuring consistency in quality assessment for years to come.
Classify
Sort and categorise ingredients. Typically used to assess quality (fail/pass), grade, defects, country of origin and so on.
Use Case:
A rice commodity trader needed to verify grain grades accurately to ensure fair pricing. Their custom Classify model successfully differentiated between three distinct rice grades based on digital fingerprints. This automated classification enabled rapid quality assessment at receiving, ensuring appropriate pricing and protecting margins through data-driven purchasing decisions.
ADVANCED AI TOOLS
Verify
Benefits:
- Reduce need for physical samples, cutting logistics costs and approval cycle time
- Validate received shipments against approved digital samples, maintaining quality standards and reducing risk of rejection
- Ensure consistency across multiple shipments
Ensure consistency of ingredients and streamline approvals with digital samples
Revolutionise your sample approval process with digital samples, reducing the need for physical pre-shipment samples for quality assessment. Buyers and sellers can share quality data and requirements digitally, creating a new standard for efficiency in ingredient verification and approval.
Use Case:
A coffee trader reduced sample shipping costs by 70% by implementing digital verification for pre-shipment approval, while improving supplier relationships through faster feedback.
ADVANCED AI TOOLS
Verify
Ensure consistency of ingredients and streamline approvals with digital samples
Benefits:
- Reduce need for physical samples, cutting logistics costs and approval cycle time
- Validate received shipments against approved digital samples, maintaining quality standards and reducing risk of rejection
- Ensure consistency across multiple shipments
Use Case:
ADVANCED AI TOOLS
Monitor
Receive insights on quality variances within a process
Monitor tracks subtle variations and trends in your processes, enabling proactive quality management. This helps you maintain consistency while preventing quality issues before they escalate.
Benefits:
- Quickly identify product lots that fall outside acceptable quality ranges for further investigation
- Enhance team’s productivity by reducing manual inspections
- Detect quality inconsistencies early, preventing costly product recalls or wastage
Use Case:
A manufacturer implemented Monitor to track quality variations in their production line. ProfilePrint’s Monitor tool detected output that exceeded the quality threshold, and this was later found to be due to a formulation change. This allowed the production team to intervene before completing a full batch, preventing significant product waste and allowing our client to maintain consistent quality standards.