We read the weather forecast. The port congestion report. The trending social post.
Five categories of external signal — all NLP-parsed, all mapped to your SKU-DC pairs, all arriving before your POS data shifts.
The cold snap that moves hot beverages. The hurricane that empties pantry shelves.
Weather-driven demand is the most predictable form of external signal — and the most consistently ignored by POS-only models. Supplytrx ingests NOAA and commercial weather API feeds, parses forecast data against historical demand correlation models, and outputs adjusted demand signals for affected SKU-DC pairs 14–21 days before demand shifts register in checkout data.
Tracked events: cold fronts (heating products, hot beverages), tropical systems (pantry loading, generators, water), heat events (cooling products, beverages), drought conditions (irrigation, garden products), severe winter events (fuel, safety products).
14–21 days ahead of POS reaction
Port backlogs that add 18 days to your lead time. We see them three weeks before your WMS does.
Freight market data is the most direct supply-side signal available. Supplytrx monitors port congestion indices, vessel schedule delay data, and freight rate movement across major inbound trade lanes. When a port backlog builds, the system identifies which SKUs rely on affected lanes and inflates lead-time estimates before delayed shipments surface in your WMS.
Coverage: major US inbound ports (Los Angeles, Long Beach, Savannah, New York), Trans-Pacific and Trans-Atlantic lanes, intermodal transit indices. Output: lead-time inflation factor per SKU-DC pair, replenishment buffer recommendation.
18–24 days ahead of WMS lead-time updateA recipe goes viral on Thursday. The ingredient runs out of stock by the following Monday.
Social trend data is the fastest-moving demand signal in CPG — and the least integrated into traditional planning systems. Supplytrx NLP parsers monitor social volume and sentiment across category-relevant channels, detect trend spikes before they reach critical mass, and translate social signal velocity into demand lift estimates for relevant SKUs.
Signal approach: velocity-based trend detection (rate-of-change in mention volume, not absolute volume), category-keyword correlation mapping, brand vs. category disambiguation. Not brand monitoring — ingredient and category demand prediction.
3–7 days ahead of shelf movement
When key input prices move, substitution demand shifts before shoppers consciously change behavior.
Commodity price movement creates downstream demand effects that show up in SKU-level data weeks or months later. A run-up in grain prices signals future bakery SKU margin pressure and potential reformulation. Sugar price spikes drive premium alternative sweetener demand. Cotton and packaging material movements affect private-label cost and pricing behavior.
Supplytrx tracks commodity indices for primary consumer goods inputs: grain, sugar, edible oils, cotton, corrugated packaging, plastic resin. Each commodity is mapped to affected category SKU clusters, and price movement is translated into estimated demand lift or depression for substitute products.
4–12 weeks ahead of demand responseA competitor product recall. A regulatory event. A supply disruption upstream. They all move your demand.
News-driven demand events are low-frequency and high-impact. A competitor product recall creates immediate demand lift for substitute SKUs. A regulatory ban on an ingredient triggers reformulation pressure across a category. A natural disaster affecting a key growing region reshapes commodity availability for a season.
Supplytrx NLP classifiers monitor news feeds and regulatory publications, filter for relevance to your product categories, and surface actionable signals to your planning system. Classification covers: product safety events, regulatory actions, supply disruption news, major weather events (non-forecast), and competitor discontinuations.
Same-day event detectionWhich signals are already moving your demand before your POS catches it?
We'll run a signal audit for your top 10 SKU-DC pairs — no commitment required. You'll walk away with a concrete answer: which of the five signal categories have a statistically meaningful correlation with past demand shifts in your categories.
Request a signal audit