A NASA & NSF Portfolio Company
From Weather Guesswork to Strategic Advantage
Discover how 6+ month weather forecasts are helping leading retailers slash costs, optimize supply chains, and boost revenue.
Weather's $300B Retail Impact
Most retailers still rely on historical data and short-term forecasts—leading to billions in lost sales and wasted inventory every year.
📊 Historical Limitations
Historical averages can't predict future conditions
⏰ Short-Term Blindness
5–10 day forecasts are too short for supply chain lead times
🔍 Resource Drain
Manual weather analysis can drain analyst resources
💸 Weather Surprises
Lost sales & excess inventory from weather surprises
Case Study
Multi-Climate Merchandising at Scale
A leading North American department store with 125+ locations across diverse climates faced:
6–10 month buying cycles without accurate long-range weather forecasts
Saw 20% swings in inventory from unexpected weather
Manual analysis consumed analyst teams who missed key signals leading to $3.5M in warehousing costs
"Last year we bought roughly 30,000 more air conditioners anticipating heat, but ended with a rainy summer. Now there’s a lot of product sitting in warehouses." – Director of Merchandizing
Case Study
Supply chain disruptions
A thrift retail network with 200+ stores struggled with:
Outdoor donation processing disrupted by weather
Transportation routes grounded by storms
Staffing shortages during extreme conditions
"When inclement weather hits, our trucks can't run our routes and employees struggle to get to work. In rural and peri-urban areas, it can ground us completely." – VP of Operations
AI Powered Weather Intelligence for Retail
ROI You Can Count On
Typical Investment
$10K–50K annually
Expected Year 1 Returns
$500K–2.5M savings from optimized inventory
$300K–1.8M increased sales
$200K–800K efficiency gains
Payback Period
<3 months
Best-in-class forecasts build for industry
Explore Weather Intelligence
Breakthrough Technology
AI & Machine Learning demand forecasting
Physics-based ECMWF & NOAA models
6+ month seasonal accuracy (up to 95%)
Localized data at 25 km resolution
Seamless Integration
Direct API feeds into ERP systems (SAP, o9, Dayforce, etc.)
Automated inventory adjustments
Real-time alerts & operational planning tools
Multi-Channel Applications
Store-level inventory allocation
Supply chain route optimization
Labor scheduling efficiency
Promotional timing strategies
