Thesis
Author: Freeman LewinEvents
Our read
Our read
A super El Niño is now forecast as record strength and the first real exposure is the coffee bean: arabica sits near a six-week high while certified ICE warehouse inventories diverge across contracts, the place a supply squeeze shows before the shop counter. What is scarce is deliverable green bean ahead of the Brazilian harvest, not demand. Falsifier: certified stocks rebuilding and HS 0901 per-kilogram import values flat while only futures premiums move, meaning a position squeeze, not scarcity. The test is certified stock panels and origin-level customs unit values against retail price-per-ounce scanner and cafe menu boards, where roaster pass-through is the lagged signal.
foodservice menu price tracking data provider restaurant pricing intelligence
Ties the ENSO forecast to a named consumer price, so the weather claim is stated as a pass-through claim; the discovery question becomes who measures bean cost between the farmgate and the shelf, not who forecasts rain.
earnings-language deltanews.google.com
Certified warehouse stocks are the deliverable-supply variable: prices were framed as moving with inventory flux, so a stock series, not the price chart, is the leading measurement of scarcity.
operating-metric inflectionnews.google.com
Fund positioning in weather-exposed soft commodities is already being rebuilt as a macro trade, confirming capital sees physical scarcity first in inventory and basis, before retail prices move.
guidance-language deltanews.google.com
A downstream admission that coffee cost inflation broke out-of-home coffee economics, so green-bean cost hits cafe formats and lease-heavy chains before it shows in grocery unit prices.
capex-expansion eventfinance.yahoo.com
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[withheld] — Hyperlocal bar/restaurant happy-hour and drink-pricing data: item-level drink prices (cocktails, beer, wine) with happy-hour discount windows, aggregated across 2,600+ [withheld] bars/restaurants in 108 neighborhoods, refreshed monthly — a byproduct of operating a consumer happy-hour discovery guide.. 2,600+ bars/restaurants listed; ~50,000 monthly visits to the consumer guide; 109,975 listed drink prices compiled in the first Barometer report (Fall 2026); sole-proprietorship, one-person operation. Use cases: Hyperlocal consumer-price-index construction for the restaurant/bar/leisure secto…
[withheld] — Restaurant/QSR competitor menu pricing and promotional data — item-level prices, portion sizes, availability and limited-time offers collected daily-to-custom cadence from restaurant chain websites and delivery platforms, normalized and item-matched via NLP/cosine similarity across competitors and regions.. ~10 employees (Apollo), ~$7.6M revenue range (Apollo); 200+ enterprise customers worldwide across industries, founded 2005, 20+ years of enterprise scraping operations. Use cases: Competitive menu/pricing benchmarking for restaurant and QSR brands, regional price-variation analys…
[withheld] — Global surface weather/[withheld]/environmental observation database (100,000+ locations) plus gridded reanalysis datasets and 120+ agricultural indices, delivered via subscription (SuperPack) with 50+ year historical archives and ongoing daily/hourly/sub-hourly feeds — originally built for the weather/[withheld] risk transfer (insurance/reinsurance) market, now also serving energy and agriculture clients.. 100,000+ surface observation locations worldwide; 12 employees; ~$3M revenue range (Apollo); UK-based (Harpenden, England). Use cases: Weather-derivative and parametric/index…
[withheld] — Proprietary long-range to seasonal [withheld]/ENSO forecasts and underlying [withheld]-signal diagnostics (ENSO/Nino3.4, NAO, PDO, AMO, IOD, soil moisture, snow cover, mid-latitude SST) for energy and agriculture clients, including a constructed-analog forecast library and a historical [withheld]-signal conditioning dataset.. Small specialist consultancy: founder plus ~2-3 staff (Olivia Kellner, Lead Research Scientist since 2015); named clients include AgResource, Dominion Resources, TC Energy, and Key Con Fuels per testimonials. Use cases: Seasonal commodity trading si…
[withheld] — Real-time restaurant, grocery and retail menu, pricing and SKU-level product data aggregated across 1M+ US/Canada merchants and delivery platforms (UberEats, Postmates, Square, Olo, SkipTheDishes, direct POS) — a byproduct of [withheld]'s food/retail ordering API infrastructure.. 1M+ restaurants/retailers covered, 700M-1B+ products, 100+ enterprise clients (TripAdvisor, Favor, Fantuan), ~$20M total raised (Series A Oct 2024), ~13-50 employees. Use cases: Competitive intelligence and pricing optimization for restaurant/retail chains, market research and trend forecasting, cross-plat…
[withheld] — Restaurant menu and pricing intelligence database: 450,000+ digitized North American restaurant menus with item-level records (name, description, price, category, promotions, limited-time offers) plus 36 million online consumer search/behavior data points — a byproduct of [withheld]'s restaurant discovery/menu search consumer platform.. 450,000+ restaurant menus, 40+ billion data points, 36 million online consumer searches tracked, covering the $900B North American foodservice industry; tiny internal team (3-7 employees). Use cases: Competitive menu and pricing benchmarking, food trend a…
[withheld] — Custom restaurant/retail menu and price monitoring data-as-a-service — tracked menu items, prices, promotions, and item status (new/changed/removed) across restaurant chains and retail, normalized for cross-chain comparison, delivered as recurring feeds or API.. 1,000+ monitored sites daily (company-wide), 50M+ companies in their overall database, 2,500+ brands covered, team of 10+ specialists. Use cases: Competitive menu/price benchmarking by chain and city, promotions-response analytics, inflation/basket-price index construction for the foodservice sector, supply-chain dem…