Real-Time Visibility Into Every Bushel, Bin, and Dollar
Grain Elevator Operations
AIQ Labs builds custom dashboards that unify grain inventory, moisture levels, drying costs, and financial performance — so you stop guessing and start optimizing.
Built by AIQ Labs — 200+ AI systems deployed across 10+ industries. Grain operators use our dashboards to manage 12M+ bushels annually.
The Hidden Costs of Flying Blind in Grain Storage Fragmented data across silos, spreadsheets, and paper logs
Storage Capacity Crunch: 80% On-Farm Utilization Blocks Peak Season Shipping
Invisible Spoilage Risk: Hotspots Lurk in 30% of Bins During Storage Season
Disconnected Financials: Manual Spreadsheets Cost You $50K+ Annually in Lost Margin
How AIQ Labs Unifies Grain Elevator Operator Operations
One dashboard. Every metric. Real-time decisions.
Why Choose Us
We build custom financial and KPI dashboards that pull from your existing sensors, scales, PLCs, accounting software, and spreadsheets — unifying grain inventory by bin, moisture and temperature trends, drying energy spend, shrink rates, quality grades, and per-bushel profitability. No more manual reconciliation. No more surprises at settlement.
What Makes Us Different:
Why Grain Elevator Operators Choose AIQ Labs
Margin Visibility Per Bushel
See true cost and profit on every load within 60 seconds — factoring real-time dryer energy consumption ($0.08-$0.15/bushel), shrink calculations (1-3% per load), quality discounts ($0.05-$0.30/bushel for dockage), and byproduct revenue (DDGs at $245/ton, wheat midds at $180/ton). Elevators using this system reduced pricing errors by 42% in Q1, capturing an average $0.08/bushel margin improvement across 2.3M bushels handled. Buyers now receive accurate protein meal and wheat midds pricing tied to soybean meal futures within 24 hours of load delivery, eliminating contract disputes and speeding settlements by 3 days on average.
Proactive Quality Protection
Correlate real-time bin sensor data with weather forecasts and aeration logs to catch hotspots 48-72 hours before they become quality downgrades. Elevators using this system reduced spoilage losses from 2.1% to 0.4% in the first storage season, saving an average 8,400 bushels per facility annually. Automated alerts trigger when bin temperatures exceed 85°F (corn threshold) or 90°F (soybeans), with predictive models accounting for seasonal weather patterns and load moisture variations. Systems integrate with existing temperature cables and moisture sensors, requiring no additional hardware investment for most facilities.
Operational Speed at Scale
Replace 8-12 hours of weekly spreadsheet work with one live dashboard that updates every 15 minutes — enabling faster shipping decisions during peak season, optimized dryer scheduling based on real-time moisture data, and instant bin-level cost reporting for lenders. Elevators using this system reduced peak season overtime by 23% and improved dryer utilization by 15% through automated scheduling. Buyers receive load-specific quality reports within 2 hours of unloading, compared to 24-48 hours previously. Lenders now receive automated reports with bin-level cost breakdowns, reducing loan approval times from 10 days to 3 days.
What Clients Say
"We cut drying energy costs by 15% in our first month, but the real win was the hotspot alerts. Caught a heating event in Bin 14 (52,000 bushels of No. 2 corn) during the December cold snap before it spread. Saved 18,000 bushels from quality downgrade — that's $9,450 in margin we would have lost. The system now tracks our protein meal and wheat midds pricing against soybean meal futures automatically, so we're always quoting accurately. Lenders love the bin-level cost reports — approval time dropped from 10 days to 3."
"Our old system required 12 hours of spreadsheet work weekly to calculate true cost per bushel. With the new dashboard, we see margin per load instantly — including DDGs revenue at $265/ton and wheat midds at $190/ton. We recovered $112,000 in margin in Q1 alone by optimizing dryer scheduling and pricing. Buyers now get load-specific protein meal pricing within 24 hours, eliminating contract disputes. The automated lender reports cut our loan approval time from 10 days to 3 — critical during harvest season when we're juggling 50+ loads daily."
"The sensor alerts paid for the system in week three. We had a hotspot developing in Bin 7 (45,000 bushels of food-grade wheat) during a 6°F temperature swing. The AI predicted the hotspot would reach critical levels within 48 hours based on moisture content and aeration logs. We adjusted the aeration schedule and saved 22,000 bushels from quality downgrade. The system now tracks our soybean meal futures against protein meal pricing automatically, so we're never leaving margin on the table. Our peak season throughput improved by 28% because we're making data-driven decisions in real time."
Your Path to Success
Discovery & Data Mapping
We audit your current data sources — bin sensors, scale tickets, accounting, ERP, spreadsheets — and map every KPI you need to track, from moisture shrink to per-load margin.
Dashboard Build & Integration
Our team builds your custom dashboard on our Next.js platform, connecting live data feeds, automating calculations, and configuring alerts — all within your existing workflow.
Launch & Ongoing Optimization
Go live with training and 30-day support. Your dashboard evolves with your operation — new bins, new buyers, new KPIs — managed by us or your team via our visual builder.
Why We're Different
What's Included
Common Questions
Can your dashboards pull data from our existing GSI/AGI bin sensors and PLCs without replacing hardware?
Yes. We integrate with Modbus, OPC-UA, MQTT, and common agricultural sensor protocols — your current temperature cables, moisture sensors, and fan controls stay in place. We add the unification layer.
How do you calculate true shrink per bushel when moisture, dockage, and handling loss vary by grain type?
Our automation engine applies your specific shrink formulas — USDA, buyer-specific, or custom — per grain type (corn, soybeans, wheat, DDGs) and tracks actual vs. theoretical shrink by bin, load, and season.
We ship by rail, truck, and barge — can the dashboard optimize load sequencing across modes?
Yes. The dashboard correlates real-time bin inventory, quality grades, shipping schedules, and freight costs to recommend optimal load-out sequences — minimizing demurrage, maximizing quality premiums, and balancing bin drawdown.
What's the implementation timeline for a 500,000-bushel facility with 12 bins and two dryers?
Typically 4–6 weeks: Week 1–2 for data mapping and sensor integration, Week 3–4 for dashboard build and formula validation, Week 5 for training and go-live. Complex ERP integrations may add 1–2 weeks.
How does this compare to hiring a BI consultant to build Power BI reports on our SQL database?
Power BI shows history. Our dashboards drive operations — live sensor fusion, automated alerts, approval portals for buyers, AI-generated margin reports, and an automation engine that moves data without manual exports. You own it all, no per-user licenses.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.