Logistics & Supply Chain Weather intelligence that moves with your freight.

Stop losing money
to weather you didn't see coming.

Delayed shipments, grounded fleets, and weather-related disruptions cost the logistics industry billions every year. WeatherLens gives operations teams accuracy-rated forecasts and confidence scores so you can reroute before disruption hits — not after.

16-dayroute planning horizon
50Krequests/day on Pro
<100msedge-cached responses

Operational Use Cases

From last-mile delivery to long-haul route optimization, weather intelligence is mission-critical infrastructure.

🚛
Fleet Route Optimization
Query forecasts along every waypoint of a route before dispatch. Confidence scores flag which segments have high weather uncertainty so dispatchers can choose safer corridors.
📦
Warehouse & Loading Dock Scheduling
Climate normals tell you if a cold snap is seasonal or anomalous. Forecast data drives automated loading-dock scheduling adjustments when severe weather is inbound.
✈️
Air Freight & Cargo
16-day forecasts for departure and arrival airports. Pair with historical accuracy data to know which forecasts to trust when making carrier commitments 10+ days out.
🚢
Port & Maritime Logistics
Wind speed, precipitation, and visibility data for any coastal coordinate. Historical weather archives help model seasonal docking and loading capacity.
🌾
Agricultural Freight
Harvest season logistics require day-by-day weather precision. WeatherLens blends NWS and Open-Meteo for the highest-accuracy short-range forecasts available via API.
📊
Operations Dashboards
Surface a confidence band on every weather-sensitive KPI in your ops dashboard. Show operations teams not just the forecast — but how much to trust it.

Not just data. Decision-ready signals.

Logistics teams don't have time to interpret raw forecast models. WeatherLens delivers structured, actionable data designed for automated decision systems.

🎯
Accuracy Scores by Lead Time
Know how reliable a 5-day forecast is for your specific region. Our/accuracy endpoint returns temp error, precipitation accuracy, and condition match broken down by 1-day, 3-day, and 7-day buckets — so your routing algorithms can weight uncertainty correctly.
📈
Historical Archive for Modeling
Pro plan includes 365 days of observed weather for any coordinate. Feed historical actuals into your delay prediction models, SLA risk engines, and capacity planning tools. No third-party data wrangling required.
🔁
Bulk Waypoint Queries
Query forecasts for every stop on a multi-leg route in parallel. Our edge-cached API handles burst traffic — ideal for scheduled pre-dispatch weather checks across an entire fleet simultaneously.
🧮
Climate Normals for Anomaly Detection
Is a -10°F forecast in Dallas in March a model artifact or a genuine cold event? Climate normals let your system flag statistically anomalous conditions for human review before automated routing makes a costly decision.

Integrate in Minutes

A single HTTP call per waypoint. No SDK, no vendor lock-in.

Pre-dispatch weather check — Node.js
// Check weather confidence for all route waypoints
const waypoints = [
  { lat: 33.749, lon: -84.388, name: "Atlanta, GA" },
  { lat: 36.162, lon: -86.781, name: "Nashville, TN" },
  { lat: 39.099, lon: -94.578, name: "Kansas City, MO" },
];

const forecasts = await Promise.all(
  waypoints.map(async (pt) => {
    const res = await fetch(
      `https://weatherlens.dev/api/v1/forecast?lat=${pt.lat}&lon=${pt.lon}&days=3`,
      { headers: { "X-API-Key": process.env.WEATHERLENS_KEY } }
    );
    return { ...pt, weather: await res.json() };
  })
);

// Flag low-confidence segments
const riskySegments = forecasts.filter(
  (f) => f.weather.accuracy?.precipAccuracy_7day < 0.75
);
// → alert dispatcher to review riskySegments

Start with 100 free requests/day

No credit card. No sales call. Prototype your weather integration today and upgrade when you're ready to deploy at scale.