Potato Market Intelligence

Feedstock Analytics Platform

A feedstock analytics platform combines internal potato price, quality, solids, defects, storage, service, and recovery with external regional market data. Use it to compare suppliers on cost per usable output and determine whether variance originates in the crop, logistics, supplier execution, or plant conversion.

Market Data

How to read this market

A feedstock-analytics platform combines internal potato price, quality, solids, size, defects, storage, delivery, and processing-recovery data with external regional market and crop information. The market object is quality-adjusted feedstock performance by supplier, region, plant, product, and time.

Use the data to compare sources on cost per usable output, explain yield or margin variance, and identify whether problems originate in field conditions, storage, logistics, or plant conversion. Connect supplier history with regional benchmarks so internal performance is interpreted against the market each supplier faced.

Data Module

Feedstock Analytics Platform

Market objectquality-adjusted feedstock performance
Primary measuresprice, quality, yield, service
Key dimensionssupplier, region, plant, product
Commercial usesourcing and margin analysis
Market contextcrop, storage, availability
Compare withusable output, freight, plant recovery
Analysis

Why this matters

Headline purchase price can diverge from true feedstock value. Lower-cost potatoes may create more peel loss, lower solids recovery, slower throughput, or greater waste, while a premium source can reduce total finished-unit cost.

Commercial interpretation should normalize both market conditions and conversion performance. That creates a cleaner distinction between supplier value, regional crop pressure, and plant efficiency.

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 is for food processors, procurement analysts, operations teams, and finance leaders that need to analyze potato feedstock performance across suppliers, regions, plants, and time. A feedstock analytics platform combines price, quality, solids, size, defects, yield, storage, freight, delivery, and plant recovery into a common decision model. MassGain adds regional benchmarks, crop conditions, availability, and historical market context.

The value is in connecting external market price with internal conversion economics. A supplier may appear cheaper per ton but create more peel loss, lower dry-matter recovery, slower line speed, or greater waste. Another source may carry a premium yet improve finished yield and continuity. MassGain helps teams compare cost per usable output, explain variance, and identify whether a problem begins in the field, storage, logistics, or plant.

The platform supports supplier scorecards, should-cost analysis, sourcing strategy, budget variance, and production planning. Procurement can isolate genuine market pressure; operations can quantify raw-material effects; finance can see margin by source and plant. MassGain does not replace laboratory, manufacturing, or ERP systems. It provides the integrated market and analytical framework needed to turn scattered feedstock data into repeatable, commercially useful decisions.

Use Case

A fry processor compares two potato suppliers. Supplier A is cheaper per tonne, but MassGain shows lower solids and shorter tubers reduce finished recovery and increase oil use. Supplier B delivers a lower cost per saleable case, so procurement reallocates volume and updates the scorecard to include conversion value.

FAQs

What data belongs in feedstock analytics?

Price, supplier, region, quality, solids, size, defects, storage, freight, recovery, throughput, and finished output are core inputs.

Why compare cost per usable output?

Headline price can be offset by yield loss, waste, slower processing, or poor product performance.

How does MassGain add market context?

It connects internal feedstock performance with regional benchmarks, crop conditions, availability, and historical relationships.

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.