Feed & Propane Dealers
Cut Route Waste. Predict Consumption.
Get Your Free Operations AuditThe Problem
These are the operational bottlenecks costing your business real money every week.
15–20% Route Inefficiency
Trucks running 40–60 stops per day on manually planned routes waste 15–20% on backtracking and poor sequencing. That's fuel, time, and wear on every truck.
Seasonal Guesswork on Inventory
Feed consumption varies by herd size, season, and weather. Propane usage swings with degree-days. Manual forecasting means running out or overstocking.
Billing Disputes Over Usage
Customers dispute charges because usage reconciliation is manual. Staff spends hours pulling delivery records and explaining bills instead of running the business.
Weather Disrupts Everything
A single storm can invalidate an entire day's route plan. Manual re-routing means delayed deliveries and frustrated customers.
What We Build
Custom AI automation designed for the way feed & propane dealers actually work.
Dynamic Route Optimization
AI plans and re-plans delivery routes in real time based on stop priority, road conditions, and weather. Routes adapt throughout the day as conditions change.
Consumption Forecasting
Machine learning combines historical usage data, degree-day calculations, herd size, and weather forecasts to predict when each customer needs a delivery — before they call.
Automated Billing Explanations
Every invoice includes an AI-generated usage breakdown with delivery dates, quantities, and consumption context. Billing disputes drop to near zero.
A Week in the Life: Before & After
Before: Manual Operations
- Monday: Driver backtracked 18 miles because route was planned without checking road closures.
- Tuesday: Customer ran out of propane over the weekend. Called angry — we had no idea they were low.
- Wednesday: Billing dispute. Staff spent 45 minutes pulling delivery records to explain a $400 charge.
- Thursday: Storm rolled in. Entire route scrapped. Manual re-routing took 2 hours.
- Friday: Inventory count shows we over-ordered feed by 20% — storage costs eating into margins.
After: AI-Automated
- Monday: AI-optimized route avoids closures automatically. Driver finishes 10 stops early.
- Tuesday: AI predicted low propane based on degree-days. Delivery was already scheduled for Saturday.
- Wednesday: Customer questions a bill. Auto-generated usage breakdown resolves it in 2 minutes.
- Thursday: Storm forecast triggers automatic route re-optimization overnight. Drivers get updated routes at 6 AM.
- Friday: Feed inventory matches AI consumption forecast within 3%. Zero overstock.
Typical Time to Measurable ROI
6–8 weeks
Based on real-world deployments for feed & propane dealers in the Red River Valley.
Ready to Automate Your Feed & Propane Dealers?
We'll audit your operations, show you exactly what can be automated, and give you real ROI numbers — before you commit a dollar.
Book a Free Operations AuditOr call (701) 642-0010