job: pricing-review · weekly

Used car inventory pricing review

dassi goes through your used inventory in the pricing tool you're signed into and reads cost, price, age, leads and market rating for each unit. You get a PDF of proposed changes with the margin before and after. Nothing on a listing changes until you say which rows to apply.

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One run, start to finish

Every dassi job has the same shape: an input, work done on real pages and accounts, output you can verify, and exceptions flagged — never guessed. This one is an illustrative example of the job.

run · pricing-review on demand · Saturday afternoon illustrative example
input

“Review the used inventory. For any unit over 30 days in stock or with no leads in 14 days, suggest a price that gets it to a good-deal rating. Show me current margin and margin after the change in a PDF table. Don't change anything yet.”

typed into dassi with the pricing tool open

run
  1. 13:05 your pricing tool read the inventory grid: 118 used units
  2. 13:12 your pricing tool flagged 46 units that were over 30 days in stock or had no leads in 14 days
  3. 13:40 your pricing tool opened each flagged unit and read cost, list price, days in stock, lead count and the market rating shown
  4. 13:52 dassi built the PDF: one row per unit with current price, proposed price, margin now and margin after
  5. 14:20 your pricing tool after your approval, changed the price on 27 units and picked the reason code you named on each exception prompt
output
  • verified: A PDF table of 46 flagged units with proposed prices and margin before and after
  • verified: 27 prices changed after you approved them, each with your reason code
  • verified: A separate list of 6 units with no photos
exceptions
  • flagged: 12 units would have gone to a negative margin at the proposed price. Left at the current price and marked in the PDF
  • flagged: 1 unit was on your do-not-reprice list. Skipped
  • flagged: 6 units had no photos. A price cut won't fix a listing nobody can see, so those went on their own list
next

Next week, the same review. Units repriced this week show up again only if they're still not moving.

What you can hand off

Reads the whole grid

Every unit, with the columns your tool shows: cost, price, age, leads, page views, market rating. It uses your tool's numbers and doesn't bring its own.

Proposes, with the margin shown

Each suggested price comes with the margin you have now and the margin you'd have after. Rows that would lose money are marked.

A PDF you can read on your phone

One table, one row per unit, sorted the way you ask. Send it to your managers or mark it up.

Applies only what you approve

“Change the ones with positive margin, skip the one on hold.” dassi edits those prices in the tool and answers the exception prompt with the reason you gave it.

Listing checks on the side

Missing photos, a description that doesn't match the trim, an aged-unit alert nobody acknowledged. It lists what it sees while it's in there.

A Saturday review of 118 units

This example is illustrative. It follows how a used-car manager at a franchise store reviews pricing with dassi, with the numbers changed.

A pricing review is mostly reading. For each unit you look at what you paid, what you’re asking, how long it has been on the lot, whether anyone has called about it, and what the market column says. Then you decide whether to move the price. Doing that for a hundred-odd cars takes the afternoon, which is why it tends to get done for the twenty oldest ones.

The instruction asked for every unit over 30 days or without a lead in 14, a proposed price that reaches a good-deal rating, and the margin before and after. It also said not to change anything.

dassi read the grid, found 46 units that met the rule, and opened each one. What came back was a PDF with 46 rows.

Reading the table

Twenty-seven rows showed a proposed price that still left a positive margin. Twelve showed a negative one. Those twelve stayed in the table with the margin in red, because knowing a unit can’t reach a good-deal rating without losing money is useful on its own. That’s a wholesale conversation, and dassi doesn’t make that call.

Six units had no photos. Their prices were fine. The listings were invisible. They went on a separate list for whoever handles photos.

The manager’s reply was one line: apply the positive-margin changes, leave out the unit on the do-not-reprice list. dassi went back into the tool, changed 27 prices, and each time the tool asked for a reason it picked the code the manager had named.

What it doesn’t know

dassi sees the screen. The margin in the table is the list price minus the cost shown in the tool. If your store adds recon or a pack that lives in another system, say so, or the numbers will look better than they are.

It doesn’t know why a car isn’t selling. A unit with forty page views and no leads might be overpriced, or might have a photo of a cracked windshield as its first image. dassi can look at the listing and tell you what it sees, and it still takes a person to walk out to the lot.

The market rating comes from your tool. If the tool is wrong about the market, the proposal will be too.

Running it every week

Saved as a Skill, the review starts from one sentence. Each week the list is shorter if last week’s changes worked. We’d keep the two-step shape, table first and changes second, even after it has run cleanly a dozen times. Price changes go live quickly, and the minute spent reading the PDF is the only check between a typo and your website.

Teach it once

01

Say what counts as stale

Days in stock, days without a lead, a market rating you want every unit to reach. Your rule, in a sentence.

02

Ask for the table first

Tell it not to change anything. Read the PDF, then say which rows to apply and which units to leave out.

03

Give it the reason code

If your tool asks why on every price change, tell dassi the answer once and it uses that on each prompt.

Your accounts. Your machine. Your call.

Runs on your machine

The agent works in your browser on your computer, local by design. It never runs in our cloud.

Your logins stay yours

It works in the sessions you're already signed into. No password handoff, no credential vault.

You approve what leaves

Messages, submissions, payments — anything outbound waits for the approvals you set.

Your model, your choice

Claude, GPT or Gemini with your own key or included credits, or a fully local model. On your own key, prompts go straight to your provider; included credits pass through dassi's relay.

Frequently asked questions

Does it work with vAuto?

It works with any pricing tool that runs in a browser tab you're signed into. The usage this page is based on was in a dealer group's in-house pricing tool, and we haven't run this job in vAuto ourselves.

Where does the market data come from?

From your tool. dassi reads the market rating, price-to-market percentage and lead counts on your screen. It has no market feed of its own and doesn't appraise vehicles.

How is the margin worked out?

From the cost and price your tool displays. If your true cost includes recon or pack that isn't on that screen, tell dassi the amount or the margin column will be too generous.

Will it change prices without asking?

Not if you ask for the table first, which is how we'd run it. A price change in most dealer tools reaches your website and the listing sites within hours, so the approval step is worth the minute it takes.

Can it follow a pricing strategy?

You can describe one, such as pricing to a turn target or to a market percentage, and it will apply that rule to each unit. It's applying your rule to your numbers. It isn't a substitute for a manager who knows why one truck sits and another doesn't.

What does a review of 118 units cost?

More credits than a short task, because it opens each flagged unit. Reviewing the 46 flagged ones costs far less than opening all 118, so a rule that narrows the list first is worth writing.

Give dassi its first run

Install dassi, open the pages this job lives in, and show it the work once. It runs from then on — your way, on your machine.

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