Potato Market Intelligence

Potato Contract Coverage Ratio

Potato contract coverage ratio compares secured qualifying supply with forecast requirements for the same plant, product, specification, and period. Adjust contracted tonnes for quality, delivery reliability, recovery, inventory, and concentration so nominal coverage reflects dependable usable protection.

Market Data

How to read this market

Potato contract-coverage-ratio data compares secured qualifying supply with forecast potato requirements for the same plant, product, specification, and period. The market object is effective coverage after contracts, inventory, delivery reliability, quality fit, and expected processing recovery are reconciled.

Use the data to identify exposed months or plants, measure supplier and regional concentration, and test whether nominal contracted tonnes translate into usable production coverage. Pair the ratio with crop outlook, storage conditions, spot availability, demand scenarios, and contract flexibility.

Data Module

Potato Contract Coverage Ratio

Market objecteffective contracted supply coverage
Primary measurequalifying supply versus demand
Key dimensionsplant, product, period, supplier
Commercial useprocurement risk management
Adjustmentsquality, delivery, recovery, concentration
Compare withcrop, inventory, open-market supply
Analysis

Why this matters

A high nominal coverage ratio can still leave a processor vulnerable when contracts are concentrated in one supplier or region, quality is uncertain, or delivered recovery is weak. Contracted tonnes and dependable usable coverage are not equivalent.

Commercial interpretation should stress the ratio by timing and concentration rather than seek one universal target. Lower coverage may be rational in a liquid, well-supplied market, while a tight specification can justify earlier protection.

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, finance, and risk teams that need to measure the share of forecast potato requirements already secured under contracts. The contract coverage ratio compares committed supply with expected demand for a defined plant, product, period, or network. MassGain helps users assess coverage against changing physical-market conditions rather than treating one percentage as universally safe.

The suite links contract volumes, delivery windows, quality specifications, supplier concentration, nomination rights, inventory, and demand forecasts with regional crop outlook, storage conditions, spot availability, and benchmark prices. Procurement can see where nominal coverage is weakened by quality mismatch, geographic concentration, or uncertain delivery. Finance can translate uncovered volume into budget exposure. Operations can distinguish raw-tonne coverage from usable-output coverage when solids or recovery vary.

A high ratio can still create risk if contracts are concentrated or inflexible, while a lower ratio may be appropriate when open supply is abundant and demand is uncertain. MassGain does not define one optimal threshold. It provides a transparent framework for measuring secured, optional, and uncovered requirements, stress-testing them under different crop and demand scenarios, and deciding where additional contracting, diversification, or flexibility is warranted.

Use Case

A frozen-fries processor appears 90% covered for the season. MassGain shows that one supplier represents 35% of contracted tonnes and its region faces yield concerns. After adjusting for concentration and expected recovery, effective coverage falls to 76%. Procurement adds alternate-origin volume and preserves optionality elsewhere.

FAQs

How is a potato contract coverage ratio calculated?

It compares contracted qualifying volume with forecast requirements for the same period and specification.

Why can nominal coverage overstate protection?

Delivery risk, quality mismatch, concentration, and weak recovery can reduce effective usable coverage.

How does MassGain improve the ratio?

It adds crop, supplier, specification, inventory, demand, and recovery context to contracted tonnes.

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.