Thank you for the candid conversation. As you put it, you could pay top dollar and still face turnover — which points to where the real leverage may be: not just finding drivers faster, but keeping the ones you've already invested in, and freeing your people from the repetitive work around every hire and every load. Worth exploring together.
Below are the opportunities we see across your businesses. None of this is a quote or a commitment — it's a shared starting point. We'd scope any one of these only after the discovery questions beneath it are answered, and we'd hold ourselves to the scoreboard metric we name.
Kreilkamp Trucking
1 · Driver Retention Engine
Automated 30 / 60 / 90-day check-ins with every new driver — so concerns surface early, while there's still time to act — plus structured exit-interview capture that turns "why drivers leave" into a pattern you can act on.
What we'd need to understand
- How does turnover break down across the first 30, 60, and 90 days?
- Do you capture exit reasons today, and is that information anywhere you can analyze it?
- Who owns the driver relationship day-to-day — dispatch, recruiting, ops?
Scoreboard metric90-day new-hire retention rate (% of new hires still driving at 90 days), trended before vs. after.
2 · After-Hours Voice Intake
Capture inbound driver and applicant phone calls 24/7 — every call turns into an instant text follow-up — so nothing rolls to voicemail overnight or over a weekend.
What we'd need to understand
- Roughly how many after-hours inbound calls come in per week, and where do they go now?
- How many applicants call versus apply online?
- Is there already an after-hours dispatch or safety line we'd coordinate with?
Scoreboard metricShare of after-hours inbound that gets an automated acknowledgment within minutes instead of rolling to voicemail.
3 · Deeper Applicant Qualification
Automate the slow, manual parts of screening — DOT/MVR and safety-record checks, employment-verification chasing — so recruiters spend their time on qualified people, not paperwork follow-up.
What we'd need to understand
- What's the current screening checklist, and who runs each step?
- Where in screening do qualified candidates go cold while waiting on a step we could run in parallel?
- What conditions disqualify a candidate automatically?
Scoreboard metricRecruiter hours per hire, and time from application to a qualified-or-declined decision.
4 · Compliance Autopilot
Automatic tracking of driver-qualification files, MVR and medical-card renewals, and retention-archive obligations — with alerts well before anything lapses.
What we'd need to understand
- How are renewals and expirations tracked today?
- Which renewals or filings are most painful to stay ahead of today?
- Who is responsible for driver-qualification-file completeness?
Scoreboard metricNumber of lapsing credentials caught proactively (target: zero expiration surprises).
5 · Dashboards That Act
A layer on top of the Power BI you already use that turns dashboards into pushed alerts and recommended actions — so the number that needs attention finds the right person, instead of waiting for someone to go looking.
What we'd need to understand
- Which dashboards do you and your team check most, and what action do they usually trigger?
- What's a metric that, when it moves, somebody must act on quickly?
- Who should receive which alert?
Scoreboard metricNumber of threshold events that reach the right person automatically, versus discovered late.
Your Second Carrier Operation
6 · Retention Playbook Transfer
Study what makes your lower-turnover operation work — pay, lanes, home-time, culture — codify it, and apply the parts that transfer across the rest of the fleet.
What we'd need to understand
- What do you believe drives the retention difference between operations?
- Are pay structure, lanes, or home-time meaningfully different there?
- Which practices do you think would travel, and which are location-specific?
Scoreboard metricReduction in the turnover gap between operations over 6–12 months.
Your Freight Brokerages
7 · Carrier-Side Speed & Sourcing
Instant first-response to carrier inquiries, automated load posting with rate benchmarking on top of your existing tools, and automated check-calls and tracking updates.
What we'd need to understand
- How do the brokerages source and vet carriers today?
- What's the average response time to a carrier on an open load?
- What TMS or tools do the brokerages run on?
Scoreboard metricCarrier response time and loads covered per broker.
8 · Brokerage Back-Office
Automatically read and file rate confirmations, BOLs, and invoices, flagging discrepancies before they become disputes.
What we'd need to understand
- What's the daily document and paperwork volume?
- Where do errors or billing disputes usually originate?
Scoreboard metricDocument-processing time and invoice-dispute rate.
Farmers' Grain & Feed
9 · Customer Ordering & Office Automation
The plant is automated — the commercial side is the opening. Let customers order and check status by text or voice, with automatic confirmations and delivery scheduling, so standing orders run themselves.
What we'd need to understand
- How do customers place feed orders today?
- Which order types are pure repeat volume that should never need a human, and which need real judgment?
- Where is the delivery-scheduling bottleneck?
Scoreboard metricOrder-to-confirmation time, and share of orders handled without manual office touch.
10 · Demand Forecasting & Inventory Alerts
Surface commodity-price moves and inventory thresholds, and augment the demand forecasting your buyers already do.
What we'd need to understand
- What's the forecasting input that's hardest to get clean today?
- Which commodity inputs most affect your margin?
Scoreboard metricForecast accuracy, and stockout / overstock incidents per quarter.
Across the Group
11 · Institutional Knowledge Capture
Capture the hard-won know-how across your businesses into a searchable, AI-accessible system — so the expertise that lives in a few key people's heads is preserved and easy to pass on as the next generation steps in.
What we'd need to understand
- Where does critical know-how live today — people, spreadsheets, filing cabinets?
- Whose expertise would be most valuable to capture first?
- What's the first process you'd want documented?
Scoreboard metricNumber of key processes documented and queryable.
Where we'd start
Pick the one or two that hit hardest. We'll work through the questions above with the right people on your team, agree on the scoreboard number up front, and scope a focused piece of work around it — the same way we approached the driver pipeline. No commitment in reviewing this; it's a map, and you set the route. That's what Monday's for.