MMYSHOPCLOUDRAW MATERIALS TO AI
EYEBOX / PHYSICAL QUALITY INTELLIGENCE

Make quality
understandable.

Explain commodity quality with evidence.

Building on capture, analysis and matching prototypes, EYEBOX aims to link expert knowledge, buyer-specific preferences and human-approved procurement proposals.

Partner on EYEBOX
Real dried anchovy photo used in prototype work
REAL COMMODITY / VISUAL EVIDENCE
01 / EXISTING APP ASSETS

From capture to quality analysis
and buyer matching.

Two actual prototype views from our IR, together with an anonymized concept visualization of buyer recommendations.

01 / CAPTURE

Capture the commodity

Actual camera UI shown in company IR

Actual camera UI shown in company IR

02 / ANALYZE

Analyze visual traits

Internal analysis UI shown in company IR

Internal analysis UI shown in company IR

03 / MATCH

Match by intended use

EYEBOX / BUYER FIT
Buyer fit review
Illustrative UI · anonymized
01
Broth manufacturer AVisual traits · usage review
02
Side-dish maker BConsistency · breakage review
03
Distributor CPrice · availability review
Human-reviewed proposal

Reconstructed demo, with buyer names and prices removed

02 / QUALITY IS CONTEXTUAL

The right product depends
on the buyer.

The following is an illustrative profile selector, not real buyer data or a validated recommendation.

SELECT BUYER CONTEXT
BUYER PREFERENCE PROFILEILLUSTRATIVE / NOT LIVE

Soup production · illustrative priorities

Taste and broth properties require separate evaluation beyond photography.

Size specification
Visual mix and breakage
Price and lead time
Relative priority bars illustrate buyer decision criteria in the example interface.
03 / COST & QUALITY PROPOSAL

Savings need evidence,
not unverified percentages.

We rebuilt the March IR comparison concept as a web report. Actual savings cannot be claimed before price, specification and purchasing evidence are verified.

EYEBOX / BUYER-SPECIFIC PROPOSAL
SCENARIO · NOT A LIVE QUOTE
01 — PREVIOUS ORDER

Current lot A

Illustrative dried anchovy lot photograph

Commodity · intended use · previous buying criteria

02 — CANDIDATE LOT

Proposed lot B

Illustrative comparison, not a separate measured lot

Expert review · availability · cost comparison

This IR example reuses one photo; real lot comparisons and savings are assessed from separate transaction evidence.

EYEBOX / END-TO-END VISIONFrom images to procurement

Capture is the start.
The decision is the goal.

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.

01CAPTURE

Capture

Consistent photography

02ANALYZE

Analyze

Visual feature records

03EXPERT

Expert review

Domain quality interpretation

04MATCH

Buyer match

Usage and buying history

05PROPOSE

Proposal

Explain quality and cost

06APPROVE

Human approval

Confirm specification and terms

07OPERATE

Business tools

Orders, inventory, settlement

08LEARN

Feedback

Acceptance, claims, repeats

Prototype assetsUnder developmentIntegration goal
BUYER VALUE / 05Why evidence creates value

Not simply a “better commodity”.
The right commodity for this buyer.

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.

01 / BEFORE Existing product
IR example image of existing dried seafood product

Existing lot A

Buyer’s prior specification, price and inspection history

Size / appearanceRecorded preference
QUALITY FIT
→
More than a price comparison

Brightness / size / mix / breakage / consistency / use

02 / PROPOSED Proposed alternative
IR example of alternative dried seafood product

Proposed lot B

Compare observable quality, price and lead time

Contract verificationHuman approval
IR V3 · Illustrative scenario
₩5,000Illustrative savings / box
15%Cost-reduction scenario
85% / 90%+IR example conversion / repeat-purchase assumptions

※ ₩5,000, 15%, 85% and 90%+ appear in illustrative IR V3 scenarios. They are not presented as audited customer outcomes or validated production KPIs.

05 / THE REAL IR REPORT

Beyond analytics: a buyer-ready comparison.

An original comparison report from our company’s IR V3, showing price and visual quality criteria side by side.

Illustrative IR scenarioKRW 5,000 saved / boxField expertise + transaction history + buyer-specific preferences
MYSHOPCLOUD original IR V3 page 16—real comparison report
MYSHOPCLOUD IR V3 · ORIGINAL REPORT · P.16View original IR report ↗
BEFORE기존 원물 실제 IR 사진
VS
PROPOSED제안 원물 실제 IR 사진
Illustrative IR scenarioKRW 5,000 saved / box

Financial and conversion figures are illustrative scenarios from the company IR, not actual quotes.

04 / IMPLEMENTATION BOUNDARIES

Prototype ≠ production qualification.

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