Potato Market Intelligence

Potato Rejection Rates

Potato rejection rates measure the share of loads, lots, or shipments rejected or downgraded for failing defined requirements. MassGain normalizes rejection performance by volume and connects it with crop quality, storage, supplier exposure, replacement prices, downtime, and recovery so buyers can distinguish market-wide pressure from preventable underperformance.

Market Data

How to read this market

Potato rejection rates measure the share of loads, lots, or finished shipments rejected or downgraded for failing defined specifications. The object should retain the denominator, defect or failure reason, product, supplier, origin, inspection point, period, and whether the material was rejected, downgraded, or redirected.

Use rejection data with crop quality, storage age, supplier exposure, regional prices, and replacement cost to compare performance fairly. Normalize by handled volume and separate systemic crop pressure from supplier or plant execution so quality failure can be translated into usable-cost and service impact.

Data Module

Potato Rejection Rate Monitor

Scopeloads, lots, or shipments
Reasondefect, size, solids, color, condition, or documentation
Suppliersource and origin
Periodreceiving or production window
Contextcrop quality and replacement cost
Decision usequality-adjusted supplier benchmarking
Analysis

Why this matters

Raw rejection counts can rise simply because volume increased, so rates need a consistent denominator. Even then, peer comparison matters: if every supplier from one basin deteriorates together, the signal is regional crop quality; if one supplier underperforms peers, sourcing or handling is more likely. The economic impact is the replacement, downtime, and yield cost attached to the rejects.

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 procurement teams, processors, distributors, growers, quality leaders, and finance users that need to benchmark potato rejection rates. A rejection rate measures the share of loads, lots, or finished-product shipments refused or downgraded because they fail defined specifications. Reasons can include defects, grade, size, solids, fry color, temperature, documentation, packaging, contamination, or condition.

MassGain helps users interpret the rate against the crop and market environment. Rejections may rise across a region when storage quality deteriorates or a difficult harvest changes size and defect distribution. Yet suppliers facing similar conditions can still perform differently through sourcing, grading, storage, and quality control. The platform connects rejection data with regional crop quality, storage age, variety availability, prices, replacement cost, and supplier exposure.

The analysis supports supplier scorecards, quality claims, contract design, sourcing allocation, and total-cost measurement. A low purchase price can become expensive when rejects cause downtime, emergency freight, customer shortages, or lost yield. Procurement can identify preventable underperformance, processors can quantify economic impact, and growers can see which defects drive realized-price deductions. MassGain does not replace inspection or quality assurance. It provides the external benchmark and market context needed to compare rejection performance fairly and convert quality failure into usable commercial economics.

Use Case

Two potato suppliers quote similar prices, but one has twice the rejection rate for low solids and defects. MassGain shows both sourced from regions with comparable crop pressure. Procurement calculates replacement freight, lost production, and usable yield, then shifts incremental volume to the stronger supplier.

FAQs

What is a potato rejection rate?

It is the percentage of defined loads, lots, or shipments rejected or downgraded for failing agreed requirements.

Why compare rejection rates with crop conditions?

Regional quality pressure may affect all suppliers, while differences among peers can reveal execution or sourcing performance.

How does MassGain quantify rejection cost?

It connects rejects with prices, replacement supply, freight, downtime, claims, yield, and service impact.

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.