Potato Market Intelligence

Potato Raw Material Quality Score

A potato raw material quality score combines intake attributes into a transparent measure of suitability for a defined plant and product. MassGain keeps component weights visible and links quality with regional supply, price, and recovery so lots can be allocated and compared on usable value.

Market Data

How to read this market

A potato raw material quality score combines intake attributes into a transparent measure of suitability for a defined plant and end product. Components can include variety, solids, size, shape, sugars, fry color, defects, cleanliness, temperature, storage age, and expected recovery.

Use the score to compare lots and suppliers only when component weights and thresholds remain visible. Pair the composite with market price, regional availability, and finished-product recovery so it supports allocation and procurement without masking the technical factors that create the score.

Data Module

Potato Raw Material Quality Score

ObjectComposite intake-quality measure
ComponentsSolids, size, sugars, defects, condition, recovery
BasisPlant- and product-specific weights
Market dimensionsSupplier, region, crop, storage period
Commercial useQuality-adjusted supplier and lot comparison
WatchpointPreserve component scores behind the headline
Analysis

Why this matters

A quality score matters because different plants and products value the same attributes differently. A single opaque number can create false comparability if one plant needs long tubers while another values solids or low sugars more heavily.

The analytical value comes from separating price and quality. Stable prices with falling quality can raise effective cost, while a premium lot can be cheaper on a usable-output basis.

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.
Explore MassGain Access ↓
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 leaders, market-intelligence teams, quality managers, and processor finance users that need a potato raw material quality score. The score combines multiple intake attributes into a consistent view of how suitable a potato lot is for its intended product and plant. Depending on the application, the framework can include variety, solids, size, shape, fry color, sugars, defects, cleanliness, temperature, storage age, and expected recovery. MassGain helps teams connect that composite quality view with market price, regional availability, and supplier performance.

A quality score is valuable when it remains transparent. One headline number should not hide which attributes drove the result or imply that every plant values quality in the same way. MassGain preserves component weights and thresholds and allows users to compare lots, suppliers, origins, crop years, and products on a matched basis. Procurement can identify whether a supplier premium is supported by measurable quality, operations can allocate lots to the production lines that derive the greatest value, and finance can estimate cost per usable finished unit. The score also helps separate a broad regional crop problem from supplier-specific execution. The result is a practical intake and sourcing tool that summarizes quality while retaining the evidence needed for commercial decisions.

Use Case

A processor receives six supplier offers with different price and quality profiles. MassGain scores each lot using solids, defects, storage age, size distribution, fry performance, and expected recovery. The team awards premium product volume to the highest-value lots and directs lower-scoring but economical supply to tolerant product lines.

FAQs

What can a potato raw material quality score include?

It can include variety, solids, sugars, size, shape, defects, condition, storage, temperature, and expected recovery.

Should one score apply to every product?

No. Component weights should reflect the plant, process, customer specification, and economic use.

How does MassGain make the score commercially useful?

It links transparent quality components with prices, supplier history, regional supply, and finished-product value.

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.