Capture the commodity

Actual camera UI shown in company IR
Building on capture, analysis and matching prototypes, EYEBOX aims to link expert knowledge, buyer-specific preferences and human-approved procurement proposals.
Partner on EYEBOX
Two actual prototype views from our IR, together with an anonymized concept visualization of buyer recommendations.

Actual camera UI shown in company IR

Internal analysis UI shown in company IR
Reconstructed demo, with buyer names and prices removed
The following is an illustrative profile selector, not real buyer data or a validated recommendation.
Taste and broth properties require separate evaluation beyond photography.
We rebuilt the March IR comparison concept as a web report. Actual savings cannot be claimed before price, specification and purchasing evidence are verified.

Commodity · intended use · previous buying criteria

Expert review · availability · cost comparison
This IR example reuses one photo; real lot comparisons and savings are assessed from separate transaction evidence.
This roadmap starts with capture, analysis and matching prototypes and expands toward expert-verified proposals, approvals and operations. Each step has a different maturity level.
Consistent photography
Visual feature records
Domain quality interpretation
Usage and buying history
Explain quality and cost
Confirm specification and terms
Orders, inventory, settlement
Acceptance, claims, repeats
A web interpretation of the cost-comparison scenario in our IR V3. Product amounts below are illustrative IR inputs—not live quotes, savings guarantees or audited outcomes.

Buyer’s prior specification, price and inspection history
Brightness / size / mix / breakage / consistency / use

Compare observable quality, price and lead time
※ ₩5,000, 15%, 85% and 90%+ appear in illustrative IR V3 scenarios. They are not presented as audited customer outcomes or validated production KPIs.
An original comparison report from our company’s IR V3, showing price and visual quality criteria side by side.



Financial and conversion figures are illustrative scenarios from the company IR, not actual quotes.
Evidence supports prototype capture, analysis and matching and internal testing. Independent new-lot validation, more expert labels and full proposals-to-inventory automation remain research goals.
Food safety, odors, moisture and non-visual chemical measures need proper testing and documents.
Research program