Potato Market Intelligence

Potato Commodity Exposure Reporting

Potato commodity exposure reporting reconciles contracted, indexed, inventory, and open positions into the risk that remains by plant, month, region, and specification. Procurement and finance teams can see where price, quality, delivery, or basis exposure is concentrated instead of relying on one annual coverage percentage.

Market Data

How to read this market

Potato commodity-exposure reporting data maps physical and financial positions to the potato benchmarks, regions, plants, specifications, suppliers, and time periods that drive their risk. The market object is the uncovered or conditionally covered exposure after contracts, inventory, indexed purchases, and open requirements are reconciled.

Use the data to report exposure by month, plant, quality specification, supplier, and benchmark rather than relying on an annual contracted percentage. Include reset dates, basis, inventory coverage, and scenario sensitivity so teams can see where price, quality, or delivery risk remains concentrated.

Data Module

Potato Commodity Exposure

Market objectnet procurement exposure
Primary measureuncovered volume or value
Key dimensionsplant, month, region, specification
Coveragecontracts, inventory, indexed positions
Commercial userisk and margin reporting
Compare withcrop, storage, freight scenarios
Analysis

Why this matters

High annual contract coverage can coexist with meaningful risk if the open portion is concentrated in one late-storage month, plant, or difficult specification. Volume coverage and economic coverage are therefore not the same measure.

Commercial analysis should also separate fixed price from physical performance. A fixed contract may remove commodity-price risk while leaving quality, delivery, basis, or replacement-cost exposure fully open.

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, processors, restaurant systems, lenders, treasury teams, and risk managers that need a consolidated view of potato-related financial and physical exposure. Commodity exposure reporting maps contracted, indexed, open, inventory, supplier, regional, and timing positions to the relevant market benchmarks. MassGain helps organizations turn scattered contracts and purchase data into an understandable risk picture.

A useful report distinguishes gross volume from true sensitivity. Fixed-price contracts may limit immediate price exposure but leave quality or delivery risk; open volume may be small overall yet concentrated in a vulnerable month or region. MassGain combines internal positions with regional prices, crop and storage conditions, availability, freight, and historical volatility. Teams can report uncovered tonnes, benchmark basis, supplier concentration, contract reset dates, inventory coverage, and scenario impacts. Procurement can prioritize coverage decisions, finance can forecast margin and working capital, and leadership can see where a market event would translate into operational or earnings pressure. MassGain does not prescribe hedging or replace treasury policy. It provides the potato-specific data structure needed to report exposure consistently, avoid double counting, and connect market movement with the contracts and physical supply behind it.

Use Case

A frozen-food company reports that 85% of annual potato volume is contracted. MassGain reveals that most of the remaining open volume falls in one late-storage month at a single plant, prompting targeted coverage rather than a broad portfolio response.

FAQs

What belongs in potato commodity exposure reporting?

Contracts, open volume, inventory, benchmarks, basis, supplier and regional concentration, timing, and scenario impacts are common elements.

Why is annual coverage percentage insufficient?

Exposure may be concentrated in a particular plant, month, specification, supplier, or crop region.

How does MassGain support reporting?

It links internal positions with regional prices, supply, storage, availability, freight, and volatility.

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.