Potato Market Intelligence

Foodservice Frozen Potato Products Pricing

Foodservice frozen potato products pricing normalizes restaurant SKUs across processors, distributors, packs, rebates, freight, service, and product performance. MassGain separates raw-potato, conversion, logistics, and operational effects and compares net cost per pound, serving, or saleable portion for enterprise procurement.

Market Data

How to read this market

Foodservice frozen-potato-products-pricing data normalizes fries, wedges, hash browns, tots, skins, mashed portions, and specialty SKUs across processors, distributors, regions, packs, rebates, freight, and service terms. The market object is the delivered usable foodservice product matched to the restaurant system's actual specification.

Use the data to compare net cost per pound, serving, or saleable portion and to separate raw-potato, oil, energy, packaging, conversion, logistics, and distributor effects. Connect price with product performance such as waste, breakage, hold time, and portion yield.

Data Module

Foodservice Frozen Potato Products Pricing

Market objectdelivered foodservice potato SKU
Primary measurenet usable cost
Key dimensionsproduct, processor, distributor, region
Commercial useenterprise sourcing and negotiation
Cost stackraw, conversion, freight, rebates, service
Compare withservings, waste, and product performance
Analysis

Why this matters

Case price can misstate restaurant economics when pack sizes, rebates, freight, breakage, and serving yield differ. A nationally cheap SKU can be expensive in remote markets or underperform operationally.

Commercial interpretation should therefore compare net usable cost at the destination. Commodity movement should be isolated from distribution and operational variance before a supplier increase or allocation change is accepted.

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 QSR and restaurant procurement teams that need enterprise-grade foodservice frozen potato products pricing. The portfolio may include fries, wedges, hash browns, tots, mashed portions, skins, and specialty products purchased through processors and distributors under different pack, rebate, freight, and service structures.

MassGain creates a normalized pricing layer across SKUs, suppliers, plants, distributors, regions, and customer tiers. It connects invoices and contracts with raw-potato benchmarks, oil, energy, packaging, processor utilization, cold-chain freight, rebates, allowances, and actual product performance. Restaurant buyers can compare cost per pound, serving, menu item, or saleable portion. Finance can forecast category spend and margin by market. Operations can identify where waste, breakage, hold time, or portion variation—not supplier inflation—is changing food cost. Procurement can also track contract resets and quantify the effect of alternate plants or distributors.

MassGain does not prescribe menu prices or expose proprietary supplier margins. It provides a governed enterprise dataset and audit trail that separates commodity, conversion, logistics, and operational effects, allowing restaurant systems to negotiate and allocate volume using consistent delivered usable economics.

Use Case

A national QSR reviews twelve frozen-potato SKUs across three processors and five distributors. MassGain normalizes cases, pounds, rebates, freight, servings, and regional service costs. The chain discovers that a nationally low case price is expensive in remote markets, restructures regional allocation, and reduces food cost without changing the menu.

FAQs

Which products can the pricing system cover?

Fries, wedges, hash browns, tots, formed items, mashed products, skins, and other frozen potato SKUs can be covered.

Why normalize beyond case price?

Pack size, yield, waste, rebates, freight, service, and servings determine the real restaurant cost.

How does MassGain support enterprise procurement?

It joins contracts, invoices, benchmarks, product performance, distributors, regions, and forecast scenarios in one governed view.

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.