Potato Market Intelligence

Canned Peeled Potato Defect Score

Canned peeled potato defect score records peel remnants, eyes, bruises, discoloration, decay, damage, misshapen pieces, and other finished defects. MassGain preserves defect identity and source stage so supplier, peeling, handling, and process problems can be separated and valued correctly.

Market Data

How to read this market

Canned peeled-potato-defect-score data records peel remnants, eyes, bruises, discoloration, decay, mechanical damage, misshapen pieces, blemishes, foreign material, and other defined finished defects under a stated scoring method. The market object is the scored canned lot by plant, line, raw cohort, can size, and customer program.

Use the data to separate raw defects from peeling, trimming, handling, and process failures and to connect each category with rework, downgrade, yield loss, claims, or supplier settlement. Preserve whether scoring is by count, weight, area, severity, or points.

Data Module

Canned Peeled Potato Defect Score

Market objectfinished defect profile
Primary measuresdefect type, incidence, severity
Key dimensionsplant, line, lot, method
Commercial usecorrective action and value analysis
Source stagesraw, peeling, trimming, process
Compare withintake inspection and customer limits
Analysis

Why this matters

A rising defect score does not prove worse raw potatoes. Peel remnants can indicate equipment or trimming drift while bruises or internal discoloration may follow the incoming cohort.

Commercial interpretation should preserve defect identity and stage. Assigning all finished defects to suppliers can hide a plant problem, while ignoring raw-linked patterns can leave recurring sourcing risk unaddressed.

Signal 01

Usable Crop Uncertainty Index

UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.

Preview data
Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Illustrative value until the live UCUI endpoint is connected.

Understand uncertainty. Anticipate risk. Act earlier.

UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.

WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
See Today’s MPI ↓
The MassGain Daily

Today’s market analysis.

A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.

Signal 02

MassGain Potato Index

Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.

Preview data
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Illustrative presentation until the live MPI endpoint is connected.

Price discovery for the physical potato market

MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.

Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
See Today’s MSR ↓
Signal 03

MassGain Spot Reference

An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.

Illustrative only
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
Not a current market reference. This value is included only to preview the MSR presentation.

A trusted benchmark for pricing, contracts, and risk

MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.

ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
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The MassGain Product Ladder

From insight to intelligence to action

Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.

1

Content

Original research, commentary, aggregated news, and market updates.

  • What matters right now?
  • What is happening out there?
2

UCUI™

Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.

  • Understand uncertainty
  • Anticipate risk
  • Act earlier
3

MPI™

MassGain Potato Index: independent physical-pricing intelligence and trend analysis.

  • Price discovery
  • Regional trends
  • Procurement planning
4

MSR™

MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.

  • Contracts
  • Negotiations
  • Risk models

Content + UCUI + MPI + MSR + API access

Get historical series, regional detail, constituent data, exports, alerts, and direct data access.

Overview

Who is this for?

This page is for food processors evaluating canned peeled potato defect score by defect type, severity, and commercial consequence. MassGain organizes peel remnants, eyes, bruises, discoloration, decay, mechanical damage, misshapen pieces, blemishes, foreign material, and other defined defects by sample, lot, plant, line, can size, and customer program.

It preserves whether the score is based on count, weight, area, severity, or points so teams do not combine unlike methods. Procurement can identify supplier and crop patterns, operations can distinguish peeling or trimming failures from raw defects, quality teams can audit scoring consistency, and finance can estimate downgrade, rework, or claim cost.

The suite also links defect scores with raw inspection and process yield, making it possible to see where defects entered or escaped control. MassGain does not replace official grading or inspection judgment. It provides a transparent trace from defect observation to operational cause and economic impact.

Use Case

A canner's defect score rises despite stable incoming grade. MassGain decomposes the score and finds peel remnants, not field defects, drive the increase after maintenance on one peeler. Operations corrects the equipment setting and avoids unnecessary supplier deductions.

FAQs

What can a defect score include?

It can include peel, eyes, bruises, discoloration, decay, damage, misshapen pieces, and foreign material.

Why preserve defect type?

Raw, storage, peeling, trimming, and process defects require different corrective actions.

How does MassGain connect defects with cost?

It links scores with yield loss, rework, downgrade, customer claims, and supplier settlement.

Put this market intelligence to work

Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.

Data and Methodology

Professional market-data standards

MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.