LMBROperating System

How it works

1 · Catch a problem

Catch the problem before it gets expensive.

Roadmap
Most systems tell you what went wrong after the damage is done. LMBR is being built to spot the first warning sign while your team still has time to step in.
  1. 01Slow reorderStep in
  2. 02Thin stock
  3. 03Short load
  4. 04Missed first-out
  5. 05Unhappy builder

↑ This is where LMBR could have warned the team—before the rest of the problem happened.

2 · Choose a goal

Pick the result you want. See the work it will take.

Roadmap

Free up cash

  1. 1.AI-MADDOXIdentify slow-moving stock that can be sold through or transferred. Numbers included.
  2. 2.AI-ANNIEShift two vendors to smaller, more frequent buys. Numbers included.
  3. 3.AI-CARLAPrioritize collection calls on the accounts drifting past terms. Numbers included.
  4. 4.AI-FRANKLINShow the cash effect of each step before anyone commits. Numbers included.

Protect margin

  1. 1.AI-FRANKLINFind the jobs where freight quietly ate the margin. Numbers included.
  2. 2.AI-JORDANCoach the reps whose quotes skip recent cost changes. Numbers included.
  3. 3.AI-ANNIEFlag rush buys that land above the usual cost. Numbers included.

Hit every delivery window

  1. 1.AI-ELIProtect first-out slots for the builders who can't wait. Numbers included.
  2. 2.AI-BUTCHStage tomorrow's loads before the evening shift ends. Numbers included.
  3. 3.AI-MADDOXConfirm stock for every scheduled drop the day before. Numbers included.
  4. 4.AI-GRACENTell the customer early when a window is at risk. Numbers included.

One yard needs 4 LVLs tomorrow. Another has 9 extra. A truck is headed back empty at 2:30. LMBR is being built to notice.

Example using sample data. Your people review and approve the plan.

3 · Find the cause

A builder calls: the framing package came up short.

Demo using sample data
AI-GRACEN stays with the builder's problem from the first call through the answer. The right specialists check their part of the job so the team fixes the real cause—not the first excuse.
  1. AI-GRACENOpens the case and takes ownership for the builder.
  2. AI-BUTCHThe pick matched the ticket. Not a yard error.
  3. AI-MADDOXAllocation was correct. Not an inventory failure.
  4. AI-GREGDelivered quantity matched the approved estimate.
  5. AI-DENNISA later plan revision added an opening and header after the estimate.

Root cause

Not a yard shortage and not an inventory failure. A later plan revision added the opening after the original estimate was processed.

AI-GRACEN drafts a customer-safe reply. A person approves it.

Example using made-up data. No customer records are used.

Dispatch

A dispatch board that knows what sales promised.

Roadmap
A 3:30 AM first-out. A truck that is already full. A builder who needs the boom by seven. LMBR is being built to connect the schedule to the order, the yard, and the customer—so the dispatcher can see what fits, the builder can see where the load is, and every delivery can ask for a review at the signature.
LMBR owns Dispatch. AI-ELI runs the intelligence. The dispatcher runs the operation.

Tomorrow · first out

Illustrative

  • Truck 12 BoomLocked. Full.
  • Truck 07 Flatbed1 slot open
  • Truck 04 PiggybackSecond run available
  • Truck 09 FlatbedHeld for first-out

What else LMBR does

See what is ready now—and what is still being built.

Every item is labeled. You can tell what comes with Shadow Mode today, what is only shown with sample data, and what is still on the roadmap.
In today's pilot

What is in Shadow Mode today

One branch and approved exports. LMBR reads the data but does not write back to your ERP.

  • Run LMBR against your own history

    In today's pilot

    Before LMBR advises on today, see what it would have recommended using past branch data you approved.

  • See why LMBR made the call

    In today's pilot

    See what LMBR found, what it recommends, and who is allowed to make the final decision.

  • If the data is unclear, LMBR stops

    In today's pilot

    A questionable product match goes to a person for review. LMBR does not quietly turn uncertainty into a bad answer.

  • Give your CFO the backup

    In today's pilot

    The recommendation, approval, override, result, and supporting data stay together, so the value can be checked.

Demo using sample data

What you can see in the private demo

These screens use made-up sample data—not a customer's database, ERP connection, or production records.

  • Follow an order from start to finish

    Demo using sample data

    See the quote, the changes, the approvals, the delivery, and the final signature in one timeline.

Roadmap

What we are building next

These items are planned, not available today. Each one has to prove itself before it is released.

  • One more turn per truck

    Roadmap

    Turnaround measured precisely enough to find the extra run hiding in the same truck and driver.

  • Measure sales by what was delivered

    Roadmap

    Look at delivered dollars and cost to serve—not just what a salesperson quoted.

  • See how you stack up, anonymously

    Roadmap

    Opt-in peer benchmarks against dealers your size, without anyone seeing your name.

  • Connect every yard trip to its order

    Roadmap

    Tie travel to each pull ticket so managers can see what work caused the miles.

  • Documentation your insurer can read

    Roadmap

    Operational controls packaged for risk and insurance conversations. Evidence, not promises.