Pallet SolutionsTuesday Read

Public methodology · v1.5

PSCI™ methodology.

Composition, calculation, source licensing, regional methodology, and AI Forecast Layer governance. All values reproducible from public federal data by anyone who reads this document.

Version v1.5First published April 30, 2026Last modified June 11, 2026

§01Purpose & posture

This document specifies the methodology, composition, calculation, source licensing, and governance of the Pallet Solutions Cost Index™ (PSCI), a weekly composite of cost-input variables that drive pallet pricing. The PSPI demand-pressure index methodology lives in the appendix at the end of this document.

PSCI is a reference index. It is not an investment product, not a contract, and not a financial benchmark regulated by IOSCO. Pallet Solutions is the publisher; the underlying federal data is in the public domain. Any party may construct an equivalent index using the same public sources - we disclose the formula and the source licensing so any user may reproduce or audit our calculation.

Production code paths fetch directly from BLS, EIA, and Census public APIs (api.bls.gov, api.eia.gov, api.census.gov). FRED is research-only and never appears in production calculations or citations.

§02The four-qualifier disclosure

Pallet Solutions describes PSCI as “the only publicly-available pallet cost-input intelligence published at the individual region level.” That claim depends on four qualifiers, all of which must hold for the claim to be defensible. We list each qualifier and the comparison it survives:

  1. Qualifier 01

    Publicly available

    PSCI value, components, weights, methodology, and historical series are public. No paywall, no NDA. Compare against subscription-only benchmarks (Fastmarkets RISI, Argus, Pallet Profile Weekly).

  2. Qualifier 02

    Pallet cost-input composite

    Composite of five federal series specifically chosen to track upstream pallet manufacturer cost basis. Compare against single-component series (Random Lengths lumber, EIA diesel alone) which cover one input.

  3. Qualifier 03

    Individual region level

    PSCI v1.3 publishes values at six US regions using PADD-aligned diesel, each region rebased to Jan-2024 = 100. Compare against national-only indices and against single-corridor regional reads. (Per-region wages and a California / Pacific Northwest split are roadmap.)

  4. Qualifier 04

    Intelligence layer, not raw data

    Plain-English read, source citations, carry-forward disclosure, AI forecast overlay - the published product is interpretation plus reproducibility, not just numbers in a CSV.

A reader who finds an alternative source that satisfies all four qualifiers simultaneously has found a counter-example and should email info@palletsolutionsusa.com. Pallet Solutions will publish the correction in the next methodology revision.

§03Source licensing posture

Procurement audiences and competitors will examine our sources. We make our licensing posture explicit upfront.

Public-domain federal data

All five PSCI components are sourced directly from US federal agencies (BLS, EIA). These are public-domain datasets. Pallet Solutions ingests, transforms, and republishes these data in derivative composite form with full source attribution. No license fees apply. No third-party permission is required. Citation includes the agency name and series identifier on every published value.

Licensed third-party sources (cite-and-link only)

Several authoritative industry sources are referenced by name in this methodology - DAT, Cass, ATA, ISM, Random Lengths, Fastmarkets RISI, CBRE, JLL, Cushman, Bloomberg. Pallet Solutions does not ingest, store, redistribute, or recreate the data series of any of these sources. Where we mention them, we link to their free public-facing pages and identify them as the source for buyers seeking that specific data.

Why this matters: publishing reference indices on copyrighted data series we don't license would expose them to misappropriation claims. By building exclusively on public-domain federal data, the PS indices are legally defensible by anyone who reads this document.

§04PSCI v1.3 - national composition

PSCI measures the weighted movement of cost inputs that determine pallet manufacturer prices. A 1% increase in PSCI corresponds to approximately 1% upward pressure on pallet prices, holding other variables constant.

ComponentSeriesPublisherWeight

Wood Pallet PPI

Direct producer-price index for wood pallets and pallet containers.

PCU321920321920BLS40%

Softwood Lumber PPI

Primary raw material cost. Captures upstream wood movement.

WPU0811BLS20%

Diesel (US weekly retail)

Freight cost-input. Affects inbound lumber and outbound delivery. Headline PSCI uses the EIA national US weekly retail diesel average; regional PSCI uses the per-PADD breakdown (see §06).

EPD2D NUS (weekly)EIA20%

Warehouse Worker Earnings

Labor cost component for pallet manufacturing and recycling.

CES4349300008BLS15%

Paper Containers PPI (OCC proxy)

Old corrugated container price proxy for hybrid pallet-and-packaging procurement.

WPU09150301BLS5%

Weights sum to 100%. Weights are fixed at publication. Rebalancing requires a versioned methodology release with 90-day advance notice.

§05PSCI calculation

Each component is normalized to a base period (January 2024 = 100). Weekly component values are computed by:

  • For monthly series (BLS), the most recent published value is held constant for all weeks in the month following the release date.
  • For weekly series (EIA diesel), the released value is used for the corresponding week.
  • Component normalization: ComponentIndex_t = (ComponentValue_t / ComponentValue_base) × 100

PSCI is calculated as the weighted geometric mean of normalized components:

PSCI_t = (PPI_pallet^0.40) × (PPI_lumber^0.20) × (Diesel^0.20) × (Wages^0.15) × (OCC^0.05)

// Weighted geometric mean. Prevents disproportionate influence from any single high-velocity component.

Geometric mean is used over arithmetic mean because component series are themselves indices (compounding inputs), and geometric weighting prevents disproportionate influence from any single high-velocity component.

Introduced in v1.4 - unchanged in v1.5

§06PSCI v1.3 - regional composition

PSCI publishes values at the individual region level for six US regions. The base formula and weights (40-20-20-15-5) are constant across regions; in the current method, only the diesel input is localized to the region's PADD - every other input is national. Per-region wages and a California / Pacific Northwest split are on the roadmap (see note below).

Market Pulse publishes each region's read individually - free for buyers. The Tuesday Read publication and PSCI headline value remain national.

Regional proxy mapping

RegionDiesel proxyWage proxy
NortheastPADD 1B (Central Atlantic) dieselNational (CES4349300008)
SoutheastPADD 1C (Lower Atlantic) dieselNational (CES4349300008)
Great LakesPADD 2 (Midwest) dieselNational (CES4349300008)
Texas + South CentralPADD 3 (Gulf Coast) dieselNational (CES4349300008)
Plains + MountainPADD 4 (Rocky Mountain) dieselNational (CES4349300008)
West Coast (CA + PNW)PADD 5 (West Coast) dieselNational (CES4349300008)

Wood Pallet PPI, Softwood Lumber PPI, OCC proxy, and warehouse wages (CES4349300008) all remain national across every regional calculation - federal PPI series are not published at sub-national granularity, and the current method does not yet localize wages. Diesel is the only localized input, using EIA per-PADD breakdowns. West Coast covers both California and the Pacific Northwest because EIA publishes one PADD-5 diesel series; a PNW-specific series and state-level wages are roadmap items, disclosed here as future, not current.

Each regional series is independently normalized so January 2024 = 100 for that region, preserving both cross-region comparability and over-time comparability within a region.

§07Publication discipline

  • Released every Tuesday at 10:00 AM Eastern, reflecting the prior week's data.
  • Published values are final at release; restatement only for source-data revisions per §09.
  • The Tuesday Read (free, national) and Market Pulse regional editions (free, per-region) both publish from the same canonical data/psci_latest.json snapshot. No parallel pipelines.

Display and attribution

  • Headline value: PSCI to two decimal places.
  • Week-over-week change: percentage to one decimal place.
  • Every component value links directly to its publishing agency's source page (BLS, EIA).
  • Carry-forward and restatement status visible on every published value per §08 and §09.

§08Component carry-forward & outage handling

When a BLS or EIA component does not publish a fresh observation by its scheduled cadence, PSCI applies the following protocol rather than suppressing the index outright. This rule formalizes practice first applied on May 19, 2026 when BLS had not yet released the April observation for CES4349300008 (Warehouse Worker Earnings, 15% weight).

Carry-forward criteria

A component's most recent observation may be carried forward into the current week's PSCI calculation IF both:

  • The component's observation age is at or below its calibrated maximum (typically ≤90 days for monthly BLS series, ≤14 days for EIA weekly diesel)
  • The total weight of all carried-forward components does not exceed 30% of the index

Disclosure requirement

When a component is carried forward, the published Tuesday Read narrative paragraph names the affected component by title and source series ID, states explicitly that the most recent observation is being carried forward, and references the next expected release date. The published JSON snapshot carries freshness_audit.[component].stale=true so any reader can verify carry-forward state without reading the narrative.

Indeterminate threshold

PSCI publishes as “indeterminate” only when either ≥30% of total index weight is uncomputable, OR the underlying federal source has been silent past its calibrated maximum age (e.g., government shutdown affecting BLS for 90+ days). Below this threshold, PSCI is always published with carry-forward and disclosure rather than suppressed.

§09Restatement protocol

Restatements of previously-published values appear as separate publications, not silent corrections, with the following format:

PSCI [date] -RESTATEMENT

Original value: X.XX

Restated value: Y.YY

Trigger: [BLS/EIA revision link with date and series]

Restatements are normal data hygiene, not error. Backfilled values for periods prior to PSCI's first live publication carry an explicit “computed retrospectively” caveat: weights were chosen in 2026 with knowledge of the period being backfilled, which introduces look-ahead bias. Backfilled values are useful for directional comparison but are not equivalent to live publications. Live values are date-stamped and immutable except via this restatement protocol.

§10AI Forecast Layer governance (optional overlay)

The AI Forecast Layer is an optional forecasting overlay applied to PSCI cost inputs. It produces probabilistic 30-day forward projections with confidence intervals. The Forecast Layer is not a separate index, and the underlying PSCI is unaffected by this overlay. It is published alongside PSCI as a procurement timing signal, not as a substitute for vendor quotes and not as a price prediction.

Model

The overlay is powered by TimesFM 2.5, an open-source time-series foundation model published by Google Research. Approximately 200M parameters, decoder-only architecture, zero-shot forecasting, Apache 2.0 license. Pallet Solutions does not train, fine-tune, or modify the model - it uses published checkpoints unchanged.

Deployment

The forecast pipeline runs via BigQuery ML's AI.FORECAST function. Each of the five PSCI cost-input series is projected 30 days forward. The series-level projections are then composed via the published PSCI weights to produce a forecast PSCI value with a confidence band.

Regional 30-day projection (new in v1.5)

As of v1.5 (June 11, 2026), the projection is published per region as well as nationally. Method:the four shared national components (wood pallet, lumber, wages, OCC - old corrugated containers) are forecast once; each region's PADD (Petroleum Administration for Defense District) diesel series is forecast separately, with its pump price normalized to that PADD's own January 2024 = 100; the per-region projection is composed by the published weights (0.40 / 0.20 / 0.20 / 0.15 / 0.05, geometric). The band is composed comonotonically - the per-component 80% bounds composed by the same geometric weighting. This mirrors the national pipeline exactly, with one substitution per region.

Model: TimesFM 2.5 via BigQuery AI.FORECAST, 30-day horizon, nominal 80% interval. Refreshed weekly, Tuesdays, after federal data drops.

How the method was chosen:a composite-direct approach - forecasting each region's composite series in one pass - was tested first in a rolling-origin backtest, failed calibration, and was discarded. The shipped method is the one that backtested closest to its nominal setting. That sequence - test, discard, ship what passed - is the audit-defensibility argument for this section.

MethodWindowsEmpirical 80% CI coverageStatus
Composite-direct, regional6046.7%Discarded
Composite-direct, national1050.0%Discarded
Component-wise, national (production)1080.0%Published - labeled 80%
Component-wise, regional (shipped)6073.3%Published - labeled with measured coverage

Regime split (component-wise regional): 83.3% coverage in the windows before the early-2026 cost run-up, 63.3% during it - calibrated overall, softer when the market turns fast. That behavior is disclosed on every surface that renders the regional band.

We label the regional band with its measured coverage, not its nominal setting. The national pipeline backtested at its nominal 80% and is labeled accordingly.

Full backtest - every cut point, forecast, band, and actual: regional-forecast-backtest.md. Live out-of-sample tracking continues weekly and the coverage figure will be updated as windows accumulate.

Changelog

v1.5 (2026-06-11): added the regional 30-day projection - component-wise composition, measured-coverage labeling, backtest published. Regional INDEX composition unchanged. Internal regional-forecast method label: regional forecast v1.0 (component-wise), superseding the forecast-withdrawal note in v0.3 - the regional index method keeps its existing v0.3 diesel-localized label. v1.4 (2026-05-20): formalized the regional index composition. v1.3 (2026-04-30): first published.

Reproducibility

Any party with BigQuery access can run the same AI.FORECAST query against the same federal data with the pinned model version and obtain the same forecast range, within minor model nondeterminism (typically <0.1% on horizon-end values). The reproducibility check is the integrity check, identical to the principle that governs PSCI itself.

Confidence intervals

Every published forecast value carries a standard 80% confidence interval. The CI represents model uncertainty, not measurement uncertainty. Procurement teams reading a forecast value should treat the CI as the truth-telling mechanism: when the band is wide, the model is uncertain. Forecasts published without CIs are non-compliant with this methodology and should be flagged.

What the AI Forecast Layer does not do

  • Not a price prediction. The overlay projects cost-input INDEX movement, not pallet prices.
  • Does not modify PSCI. PSCI is methodology-locked. The overlay never alters published PSCI values.
  • Not a tradable benchmark. Same posture as PSCI - a reference forecast, not a regulated derivative.
  • Not a substitute for vendor quotes. The forecast informs procurement timing decisions; it does not price contracts.
  • Not PSPI. PSPI is a separate forward-looking demand-pressure index. The AI Forecast Layer projects cost inputs (the same federal series PSCI uses); PSPI tracks demand-side leading indicators. They are different objects.

§11Recommended use & anti-use cases

If a procurement team is going to defend a sourcing decision against an internal challenge, they should be able to cite this section.

Appropriate for

  • Budget setting. Year-over-year PSCI movement is a defensible input to next-year pallet-spend forecasting.
  • Procurement timing signals. Significant PSCI movement (>5% WoW or >10% MoM) is a signal to revisit vendor agreements ahead of cycle.
  • Quote evaluation. When a vendor proposes a price increase, PSCI movement over the same period gives the buyer a reference for how much is cost-input-driven vs. other factors.
  • Internal escalation. Cite PSCI movement as a public, audit-defensible reason when defending a vendor change to finance.
  • Cross-period comparison. Q1 2025 vs. Q1 2026 across changing vendor mixes.

Not appropriate for

  • Pricing pallet quotes off the index. Quote vendors, not PSCI.
  • Settling disputes. PSCI is not a market price; it cannot be the basis for resolving a vendor-buyer pricing dispute.
  • Forward contracting. PSCI is not a tradeable instrument and has no associated derivatives.
  • Cross-industry comparison. PSCI is a pallet-industry composite. Not directly comparable to single-component indices (Random Lengths, CME), commodity composites (Bloomberg Commodity Index, S&P GSCI), or trucking indices (Cass, DAT).

Known sources of divergence between PSCI and observed prices

Procurement teams will observe pallet prices that diverge from PSCI movement. The most common reasons: demand-side factors (PSCI is cost-input only), regional supply imbalances (pallet recyclers operate within ~150 miles), vendor-specific pricing strategy (capacity utilization vs. cost basis), contract terms (fixed-price contracts vs. spot), and quality/certification differentials (heat-treated, ISPM-15, food-grade carry adders not in the PPI series).

§12Empirical validation & first-mover disclosure

PSCI weights and composition (unchanged through v1.5) were chosen from input-cost shares for NAICS 321920 (wood pallet manufacturing) as documented in BLS PPI methodology and published industry-cost-structure analyses. The weights are reasoned approximations, not the output of a regression analysis against observed pallet pricing.

As Pallet Solutions accumulates buyer-side transaction data through OMS managed-programs operations, future methodology versions may publish empirical correlation between PSCI and observed pallet pricing across managed corridors, weight refinements informed by observed price elasticity, and regional sub-indices for buyers with concentrated regional footprints. We call this approach operator-grounded forecasting -forecasts published by entities that operate within the system being forecasted, using proprietary ground truth to validate model output.

Until such validation is published, PSCI is positioned as a theoretical cost-input composite, not an empirically validated price tracker. The reproducibility of the calculation from public data is the integrity check, not empirical correlation to observed prices.

First-mover disclosure

PSCI is the only publicly-available, reproducible composite cost-input index in the pallet industry. Pallet Solutions is aware that publishing an index in a category that has not previously had one carries first-mover risk: the methodology will be scrutinized by procurement audiences, by competitors, by industry trade press, and by source-data publishers. Pallet Solutions is committed to: transparent methodology publication (this document), reproducibility from public data, versioning with advance notice on changes, restatement protocol on source-data revisions, and honest disclosure of limitations.

§13Release calendar & disclosure footer

  • PSCI: every Tuesday, 10:00 AM ET. The Tuesday Read sends after federal data drops.
  • PSPI: second Friday of each month, 10:00 AM ET (see appendix).
  • BLS PPI release: typically 11th-14th of each month.
  • EIA weekly diesel: Mondays, 5:00 PM ET.

Every published value carries this disclosure footer

PSCI™ index v1.3 · methodology v1.5: palletsolutionsusa.com/methodology

sources: BLS, EIA (PCU321920321920, WPU0811, EPD2D, CES4349300008, WPU09150301)

calculated: [timestamp ET] -final at release except per restatement protocol

forecast overlay (when present): AI Forecast Layer v1.0 - TimesFM 2.5 - 80% CI

Appendix

PSPI - Pallet Solutions Pressure Index

PSPI is a separate index from PSCI - it tracks forward-looking demand pressure, not cost inputs. Procurement teams reading this document for PSCI verification can stop at §13. PSPI methodology is preserved on the canonical Netlify methodology surface for completeness.

Read the PSPI appendix