Forecast watches weather satellites, commodity feeds, and soil sensors to tell grain elevators and seed distributors exactly what to stock and when to move it.
Built for co-op managers, procurement directors, and agtech CFOs who've been burned by spreadsheet demand models.
90-Day Demand Curve — Anhydrous Ammonia
Live · Updated 4 min ago
Projected shortfall: 14,200 tons — Week 38, Iowa District 7
Weather probability: 74% early frost event · Recommend pre-position order by Aug 12
Forecast Accuracy
94.2%
+2.1% vs last week
Days of Stock
18.4d
-3.2d vs last week
Carry Cost Risk
$2.1M
-$340K vs last week
Fill Rate
97.8%
+1.4% vs last week
County Demand Index
Iowa D7
92
Iowa D4
68
Illinois N
55
Indiana W
41
Nebraska E
76
Kansas C
33
The old way built on gut feel and spreadsheets. Forecast built on satellite data, soil sensors, and commodity feeds updated every 15 minutes.
Inventory Reorder
Static min/max thresholds set once per season. Miss a weather event, miss a harvest window.
Inventory Reorder
Thresholds recalculate daily against satellite imagery, soil moisture, and commodity futures.
94.2%
forecast accuracy
Demand Modeling
Last year's actuals + a gut-feel multiplier. Breaks the moment weather patterns shift.
Demand Modeling
NOAA feeds + soil sensors update demand curves in real time. Drought in week 28 shows up in week 29's order.
11.2 days
avg forecast lead time
Inventory Audits
Cycle counts miss spoilage windows. By the time you find the variance, it's already a write-off.
Inventory Audits
Weight sensors + bin sensors update every 15 minutes. Spoilage risk flagged 8.3 days before threshold breach.
$1.24M
spoilage prevented YTD
Procurement Timing
Buying at peak demand means peak price. Every co-op manager knows this. Nobody has a better system.
Procurement Timing
Procurement signals 11 days ahead of optimal price windows. Q3 2026 projected savings: $2.8M.
$2.8M
Q3 procurement savings
| Feature | Agrian | FBN | Spreadsheet |
|---|---|---|---|
| Weather-satellite integration | – | – | – |
| Soil sensor reconciliation | – | – | – |
| County-level demand maps | — | – | – |
| Futures-aligned buy signals | – | – | – |
| Spoilage detection 8+ days out | – | – | – |
| ERP sync (SAP, Oracle, Agrian) | — | – | – |
| Biological inventory support | — | — | – |
| Multi-state coverage | – | – | – |
Not a demo dataset. Not a model farm. A 12-facility Iowa cooperative that switched from spreadsheets in Q1 2026.
Iowa Grain Cooperative
Iowa District 7 · 12 facilities
Days of Stock (Anhydrous)
22d
before
0d
with Forecast
-36% improvement
Carrying Cost Reduction
$2,400,000
before
$0
with Forecast
-35% improvement
Forecast Accuracy
71%
before
0%
with Forecast
+32% improvement
Spoilage Write-Offs
$340,000
before
$0
with Forecast
-86% improvement
"We used to carry 22 days of anhydrous heading into peak season. Forecast cut that to 14 days without a single stockout."
Dan Kowalski
Operations Director · Iowa Grain Cooperative
840K
Bushels tracked daily
35%
Avg carrying cost reduction
8.3d
Spoilage detection lead time
$2.8M
Projected Q3 savings
See your own inventory screen in under 2 minutes. No credit card, no ERP access required for the first run.