Midwest Feed & Grain Co. — a 45-employee feed manufacturer in rural Iowa — transformed their order processing from handwritten tickets and phone calls to an AI-powered system. In 5 weeks.
When you’ve been running a business for 28 years, you know every inch of your operation. The owner of Midwest Feed & Grain Co. — a second-generation operator, 62 years old — could tell you exactly how many tons of layer feed they’d move in any given October. What he couldn’t do was escape the paperwork that consumed his days.
The numbers told the story: 20+ hours every week spent on phone calls, handwritten order tickets, and manual spreadsheet entry. A three-person office team spending 60% of their working hours on data entry instead of the work that actually grew the business.
Inventory management was pure guesswork. The warehouse ran on gut feeling and sticky notes. The result? 4 to 6 stockouts every month, each one costing $2,000 to $3,000 in rush shipping, emergency reorders, and lost sales. That’s up to $18,000 a month bleeding out the back door.
“I’d come in at 6am and leave at 7pm, and half that time was pushing paper. My dad ran this place with a notebook and a handshake, and honestly, we weren’t much beyond that.”
He’d looked at software solutions before — a few ERP demos, a couple of SaaS platforms pitched by salespeople who’d never set foot on a feed mill floor. Every one was either too expensive, too complex, or built for a business ten times his size. When he heard the word “AI,” he assumed it was even further out of reach.
Root AI didn’t start with a slide deck. We spent a full day on-site — not just in the office, but on the production floor, in the warehouse, and at the loading dock. We watched how orders actually flowed: from the first phone call to the final shipment.
We mapped 14 distinct workflow touchpoints where data was being handled manually — scribbled on tickets, typed into spreadsheets, called out across the warehouse floor, re-entered into the accounting system. Every touchpoint was a chance for error, delay, or lost information.
The assessment report identified four AI opportunities, ranked by ROI and ease of implementation. The top recommendation was clear: automate order intake and build AI-powered inventory forecasting. The potential savings dwarfed the investment.
“They didn’t come in talking about algorithms. They asked me to show them how I process an order from start to finish. That’s when I knew they were different.”
Built over three weeks with weekly check-ins, the solution was designed around one principle: make it feel like a tool they already knew how to use. No learning curve. No IT department required.
Customers submit orders through a clean, mobile-friendly form. No app download. No login wall. Just type and submit.
Customers who preferred calling could still call in. AI transcribed orders automatically — no change to their routine.
Orders auto-populate into their existing accounting and ERP system. No double entry. No copy-paste. Everything flows.
AI analyzes 3 years of historical data plus seasonal patterns to predict what's needed and when. Low-stock alerts sent via text.
Team training was completed in a single 2-hour afternoon session. No one needed a technical background. The office manager, who’d been skeptical at first, had the system running independently by the next morning.
We conducted a formal 90-day review. Here’s what the numbers showed.
| Metric | Before | After | Impact |
|---|---|---|---|
| Weekly order processing | 20 hours | 5 hours | 75% reduction |
| Stockout incidents / month | 4–6 | 0–1 | ~90% reduction |
| Order errors / month | 12 | 2 | 83% reduction |
| Average order turnaround | 4 hours | 45 minutes | 81% faster |
| Employee overtime / week | 8 hours | 1 hour | 87% reduction |
“For the first time in years, I’m home for dinner. My wife thinks I sold the business.”
— Owner & Operator, Midwest Feed & Grain Co.
The biggest changes weren’t always the ones we planned for.
Order confirmations that used to take hours now arrive in minutes. Two long-time customers specifically mentioned the improvement.
Emergency restock runs dropped from weekly events to almost never. The warehouse team no longer dreads Monday mornings.
For the first time in a decade, the owner started thinking about expanding — not just surviving. "If AI can handle this, what else can it do?"
Two neighboring businesses — a grain elevator and a small packaging plant — reached out to Root AI after hearing about the results.
Full day on the production floor, in the warehouse, and in the office — watching how orders actually flowed from phone call to fulfillment.
Prioritized assessment report with 4 AI opportunities. Owner and office manager chose the #1 recommendation: automate order intake and inventory forecasting.
Custom solution built with weekly check-ins. Web order form, phone transcription, inventory forecasting, and low-stock alerts — all integrated with existing systems.
Three-person office team trained in a single 2-hour afternoon session. System went live the same day. 30 days of post-launch support included.
Formal 90-day review confirmed all metrics. This case study documents those results.
Start the same way Midwest Feed & Grain did — with a simple conversation about where your time goes. No commitment. No pressure.
Free for the first 10 businesses — no cost, no commitment.