Ask. Then Act.

THE SHIFT

From Charts That Stop to Answers That Move

Pain

Dashboards stop at “what happened”

Managers still hunt across screens for why it happened, what to change, and whether it’s worth the fight.

Loopra move

A Fixed Ops agent with skills forged in live dealership products — not an LLM wrapped around your data.

Result

Root cause → lever → dollars → next

One conversation that finds the fix, proves it on your ROs, and keeps looking for the next opportunity.

ASK LOOPRA

Where Dashboards Stop, Loopra Agent Keeps Going

An AI agent for dealership service and parts. Ask Loopra anything about your store — it reasons across live and historical repair orders to find the root cause, the right place to intervene, and the dollar impact, then keeps looking for the next opportunity.

Skills forged in real dealerships — co-designed, shipped, and refined on live ROs
Agentic architecture built for Fixed Ops — domain knowledge embedded in how it reasons and acts
Not an LLM wrapped around dealership data — purpose-built workflows and specialized skills
Built on products dealers already run: Live RO, grids, Advisor Score Card, warranty rates, submission tooling

Ask It on Your ROs

Loopra Agent recommending a matrix cost-band markup change

ONE AGENT, FIVE STEPS, ONE CONVERSATION

Where Dashboards Stop, Loopra Keeps Going

Dashboard What happened

…and stops.

1 Why it happened

Root cause, not just a chart.

2 Where to intervene

The right lever for the store.

3 Proof from your data

Benchmarked on your ROs.

4 Simulated $ impact

What the change is worth.

5 The next opportunity

Keeps looking, unasked.

WHAT YOU CAN ASK

Real Conversations Fixed Ops Managers Have

Ask Loopra turns free-form questions into grounded answers — using skills tied to your live store data.

Parts “What part has the most impact on my parts markup rate?”

Advisors “Which advisor needs performance improvement — and on what work?”

Labor grid “Who’s selling below grid, and what’s it costing us?”

Warranty “Find the best window and create a warranty labor report.”

Data readiness “Are we missing ROs this week?”

Revenue “How was non-routine parts selling today?”

REAL DEALERSHIP CASES

Two Conversations. Two Decisions a Dashboard Would Miss.

EXAMPLE 1 · REVENUE OPTIMIZATION

“How was the non-routine parts selling today?”

Found the root cause — a 66% markup was a matrix-policy issue, not an advisor error.
Picked the right lever — tune the $150–$350 cost band, not one part.
Proved it with the dealer’s own data — similar parts already sell at 89.6%–100%.
Quantified it — and flagged the trap if discounts eat the gain.
Found more, unasked — underpriced reman parts costing ~5.6 pts of qualified markup.

~$400/mo added gross profit Back-tested on the last 90 days — ~3× the impact of what was asked, found unprompted

EXAMPLE 2 · CONTEXT-AWARE COACHING

“Which advisor needs performance improvement?”

Weighing ELR, parts markup, RO volume, and grid performance, Loopra named the highest loss per RO — then one constraint changed the answer.

New #1 coaching priority — heaviest labor discounting on non-routine work, dollars below the labor grid.
Coach the right work — the first pick beat the store on non-routine; the gap was in routine.
Hidden parts-pricing gap — advisor well below store average parts markup vs matrix.
People vs process — discounting below grid was shop-wide across 12 advisors, so it’s a process fix.

Coach the right person on the right work Separated individual coaching from store-wide process issues

BUILT ON PRODUCTS YOU ALREADY RUN

Skills Forged in Shipped Fixed Ops Tools

Ask Loopra isn’t a chatbot bolted onto your DMS. Its skills come from products dealers already use to move ELR, markup, warranty recovery, and claim quality.

01 — UPLIFT