1. EU Passenger Cars — Demand vs Supply That Closes

What we measured. Country-level new registrations (demand) from ACEA and vehicle production (supply) from OICA. Each country sheet closes apparent consumption and rolls up to regions; regions are softly aligned to OEM geography disclosures without violating price/capacity corridors.

Core identity (country closure):

C_c,t ≈ Q_c,t + M_c,t − X_c,t

Value math (per country):

V_c,t = U_c,t × P_c,t (Units × ASP)

Regional soft‑anchor (constrained least squares) keeps country logic intact while nudging to disclosure bands.

Checks we ran:

  • Mirror-statistics gap on imports/exports < 3%; re-export corridors via known hubs netted out.
  • ASP corridor respected across channels; no negative margins after landed-cost adjustments.
  • Capacity factor sanity (80–90%) at plant level where visible; utilization within historical band.
  • OEM regional split: On‑band or Near‑band after soft adjustment; deltas logged in change log.
Sources ACEA registrations (country tables), OICA production by country; national customs portals for M/X where needed
Pull dates Monthly/Annual (ACEA), Annual (OICA); customs as per country
Transforms FOB/CIF harmonization; re-export reassignment; FX: history current USD, forecasts constant FX
Confidence Tier A where closure gap ≤2%; Tier B if mirror-stat gap >2% but <5%
Caveat Residual gap driven by stock change visibility in a subset of countries

2. Construction Markets — When the Driver Is the Dataset

Problem. Short or volatile official series; revisions/late postings. We anchor at the last audited point and forecast missing months with Eurostat Production in Construction Index (PCI) and construction price/cost indices, then re-test value against ASP and capacity corridors.

Driver growth blend:

V̂_t = V_{t−1} × ∏_j (1 + w_j · g_{j,t}), with Σ w_j = 1, w_j ≥ 0

QC loop (client-visible):

  • PCI momentum card vs reported revenue path
  • ASP corridor test and mix sanity (price/cost indices)
  • Capacity factor and labor availability sanity by region
  • Weights cross-validated; driver list and caps shown on lineage chip
Sources Eurostat PCI (volume), Construction Producer Price/Cost indices; national statistics for corroboration
Pull dates Monthly (PCI, prices/costs)
Transforms Seasonal adjustment alignment; outlier winsorization; driver weighting caps
Confidence Tier B (driver-filled months) → Tier A after official revisions land
Caveat Short‑term volatility handled via smoothing; revised on official restatements

3. Manufacturing Product Lines — Confidential Cells and Revisions (PRODCOM)

Reality. PRODCOM cells may be confidential or revised later, creating holes. We detect flags, decide fill method, and reconcile back to trade and capacity.

Flag-aware gap fill:

If flags show 'missing' with adjacent years available:

CAGR = (V_{t+1}/V_{t−1})^{1/2} − 1; V̂_t = V_{t−1} · (1 + CAGR)

If series is choppy or re-based: use driver blend (as in Case 2).

We publish the flag ('C' confidential, 'L' missing) beside the filled cell and keep confidence at Tier B until official release arrives.

Sources Eurostat PRODCOM tables; methodology/user manual for flags and confidentiality; UN Comtrade/ITC for trade corroboration
Pull dates Annual (PRODCOM), Annual/Monthly (trade)
Transforms SDMX flag handling; CAGR or driver blend; reconciliation to C = Q + M − X ± ΔS
Confidence Tier B for filled cells; upgrade when official data arrive
Caveat Where reclassification occurs, previous years are restated with an audit note

4. Semiconductors — Regional Splits Soft‑Anchored to Bellwether Disclosures

Use case. Country bottom-up is noisy in small markets. We pull a bellwether's (e.g., TSMC) regional revenue shares as a soft anchor and nudge regional totals without violating country-level corridors.

Constraint sketch:

min Σ_r ((V_r − V̂_r^{filings})/σ_r)^2 s.t. Σ_{c∈r} V_c = V_r, V_c ≥ 0

Client sees a 'Regional alignment' chip: On‑band / Near‑band, with doc reference and pull date.

Sources Bellwether annual/20‑F reports for geography mix; company decks for updates
Pull dates Annual (AR/20‑F), Interim (quarterly decks)
Transforms Constrained least squares; corridor caps by country preserved
Confidence Tier A if on‑band; Tier B if near‑band with documented small residual
Caveat If multiple bellwethers conflict, a weighted band is used and disclosed

5. Medical Devices — Brand Shares Grounded in the Label Universe (GUDID)

Why. Brand shares and installed base drift without a clean device universe. We join vendor/product masters to FDA GUDID (via AccessGUDID), dedupe by DI, regroup families, and link recalls to survival curves (retirements).

Installed base and recall linkage:

IB_t = IB_{t−1} + Ship_t − Retire_t, with Retire_t from survival S(a) and recall shocks applied to affected cohorts

Client impact: cleaner shipment roll-ups; recall quarters show a transparent step in retirements; lineage lists DI coverage and pull dates.

Sources FDA GUDID (device identifiers), AccessGUDID (queries/dumps); MAUDE/adverse events where relevant
Pull dates Quarterly (DI sync), Monthly (recalls)
Transforms DI joins/dedup; family grouping; recall-to-retirement mapping
Confidence Tier A when DI coverage is high; Tier B if partial
Caveat Where DI mapping is partial, affected shares show wider bands

6. Packaging (PET Bottle‑Grade) — Trade Defence Moves Value Without More Tons

Observation. EU apparent consumption (value) rose with flat tonnage. Diagnosis: anti‑dumping measures lifted effective import prices and altered supplier mix.

Tonnage closure holds:

C = Q + M − X (tons), while Value = Tons × ASP with ASP corridor mid adjusted for duty‑impacted origins

We mark the duty start as a vertical step on the series and raise the corridor mid for affected import lanes; brand/channel ladders are re-tested for margin consistency.

Sources EU trade‑defence case history for CN 39076100; Eurostat trade and PRODCOM context
Pull dates As per case timeline; monthly trade where available
Transforms Duty-effective price adjustment; corridor shift; supplier mix reweighting
Confidence Tier A if duty timing and price effect are well evidenced
Caveat Short‑term substitution between origins can temporarily widen bands

Client Reading Checklist (What’s Always Visible)

  • Narrative: what happened, what we did, why it’s defensible
  • Tiny formula card beside each chart/table
  • Borderless bullet list of the exact checks run
  • Lineage chip: sources, pull dates, transforms, confidence tier, caveat
  • Breadcrumbs: Country → Region → World with On‑band/Near‑band badges where soft anchors apply

FMI iDEA — Assumptions visible. No sleight of hand.

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