Chapter 34 — Exercises: Inventory Management

Work these with a pencil and a calculator. The math here is the math a real used-car manager does every morning. Difficulty legend: ⭐ basic · ⭐⭐ applied · ⭐⭐⭐ advanced/judgment · ⭐⭐⭐⭐ extension.

Most items need no answer key here (selected answers live in Appendix I). For calculation items, a numeric answer is tucked in a <details> block so you can check the arithmetic without spoiling the reasoning.

Part A — Conceptual Understanding ⭐

A1. In one sentence, explain the chapter's core reframe: what is a car sitting on a dealer's lot, from a money standpoint?

A2. Name the three questions a manager must answer about the whole inventory every day (the "right cars / priced right / presented right" trio).

A3. What is allocation, and what is the single factor that most commonly increases a dealer's allocation?

A4. Define a dealer trade (dealer swap) and explain when you'd use one instead of a factory order.

A5. Why is a dealer trade possible on a new car but essentially impossible on a used car? (Use the words "commodity" and "one-of-one.")

A6. List the three "filters" a used car's online listing must survive to make a shopper's shortlist, and say which lever controls each.

A7. State the recon ROI principle in one sentence (when do you spend a reconditioning dollar?).

A8. What does it mean to "recon to a standard, not to perfection"? Give one example of each (a recon item you'd do, and one you'd skip).

A9. Write both formulas from memory: days' supply and inventory turn.

A10. What is the ~60-day rule, and what is a manager supposed to do with a car that crosses it?

A11. What does "time-to-line" (time-to-market) measure, and why does a manager track it as obsessively as days-on-lot?

A12. Name the four main sourcing channels for used inventory and give a one-word strength or weakness of each (e.g., trades = cheap-but-random).

A13. Fill in the blank and explain: "A car isn't really in inventory until it's __, _, and ___ online." Why does this definition matter?

A14. Why is re-merchandising a car called "the cheapest gross in the building"? Answer in one sentence with a rough dollar figure.

Part B — Applied Analysis ⭐⭐

B1. Days' supply. A used lot has 96 cars on the ground. Over the last 30 days it sold 64 cars. What's its days' supply? Is it in the common 45–60 sweet spot, too thin, or too heavy?

B2. Turn. A used lot sells 840 cars a year and carries an average of 120 cars. What's its annual turn? Roughly how many days does the average car spend on the lot (use turn ≈ 365 ÷ avg days-to-sell)?

B3. Price to market. A used SUV is priced at $26,800.** The pricing tool says comparable SUVs average **$25,000. Compute price-to-market. Will sorted-by-price shoppers likely see it? What's the fix?

B4. Holding cost over time. A $24,000 used car has a daily holding cost of about **$28/day. It's now been on the lot 65 days.** (a) How much holding cost has it burned? (b) If the intended gross was $2,100, how much "live" gross is left? (c) What does that tell the manager?

B5. Recon ROI. A used sedan needs: (a) front brake pads, $240 (worn to indicators); (b) a windshield chip repair, $90 (visible in the driver's eyeline); (c) a $1,100 full exterior paint correction to remove swirl marks shoppers won't notice in photos and that delays the car 3 days. For each, state spend or skip and one-line reasoning.

B6. Segment mix. Your overall used days' supply is a comfortable 48 days. Then you break it out: compact SUVs = 15 days, midsize sedans = 40 days, full-size trucks = 80 days, large sedans = 130 days. Write the buy/hold/dump instruction for each segment and explain why the overall 48-day number was misleading.

B7. The locate. A customer wants a specific new minivan: top trim, captain's chairs, in white, with the tow package — and you have it in silver only. Walk through, step by step, what you (salesperson) say and what the manager does to try to save the deal without a two-month factory order.

B8. Merchandising audit. You pull a listing with: price at 103% to market, 6 photos (all exterior, none of the interior or engine bay, shot at harsh noon), and a description that reads "Nice car! Won't last! Call now!" Identify every problem and rank the fixes by leverage (which one first?).

B9. Turn vs. gross. Manager A averages $2,400** front-end gross per used car and turns inventory **5×** a year. Manager B averages **$1,600 per car and turns 9×. Both carry an average of 100 cars. Roughly how many cars does each sell per year, and what's each one's approximate annual front-end gross? Who's running the better department, and what's the lesson?

B10. Time-to-line. Car X is acquired and listed online 3 days later; it sells 17 days after listing. Car Y is acquired and takes 12 days to get reconditioned and listed; it sells 17 days after listing. Both "sold in 17 days" per the listing date. At ~$27/day holding cost, what did each actually cost in holding from acquisition, and what's the lesson about how the aging clock works?

Part C — Skills & Practice ⭐⭐–⭐⭐⭐

C1. Run a real (or competitor) segment-supply read. Using your store's inventory (ask your manager) or a competitor's public online listings, count units per segment and estimate units sold per segment over 30 days (your manager has this; for a competitor, estimate or use overall pace). Compute days' supply by segment for at least 4 segments and write the one-line buy/hold/dump call for each. This is the single most useful skill in the chapter — actually do it, don't just read it.

C2. Reshoot a listing (the cheapest gross). Pick the worst-merchandised used listing you can find online (4–6 dim photos, thin description). Write a complete redo: (a) a shot list of 20+ photos you'd take and in what light/setting; (b) a full, honest description (equipment, condition notes, history highlights, warranty/CPO status, and one honest-flaw line); (c) one sentence on the price-to-market check you'd run before relisting.

C3. Calculate this car start-to-finish. A used SUV: bought at auction for $19,000**; auction fee + transport **$650; recon $1,300**; sold at day **30** with holding cost **$28/day; retail selling price $23,500. Compute the real gross (selling price − wholesale cost − fees/transport − recon − holding). Then recompute it as if the car had sold at day 75 instead. State the lesson in one sentence.

C4. Build your age-bucket cadence. Write your own standing-order table for the four age buckets (🟢 0–15, 🟡 16–45, 🟠 46–60, 🔴 60+): for each bucket, what's the manager's required action? Keep it to one or two lines per bucket, in your own words, so you could hand it to a new used-lot assistant.

C5. Role-play the aging-report conversation. Write the dialogue: you're the manager, and a salesperson is begging you not to drop the price on a beautiful 70-day-old unit because "it's such a nice car and we'll lose our gross." Coach them through why the gross is already gone and why aggressive action today beats hope. (Model it on Sandra and Jordan in the hook, but in your own words.)

C6. Recon decision sheet. Create a simple one-page decision sheet a recon manager could use: a short list of common recon items (tires, brakes, dings/PDR, windshield chips, full repaint, leather reconditioning, mechanical repairs, detail) each tagged "almost always do," "do if cheap/improves photos," or "usually skip," with a one-line reason each. This is a real artifact you could use on the job.

C7. Write the dealer-trade word track. A customer wants a new pickup in a specific color and configuration you don't have on the ground, and they don't want to wait for a factory order. Write the exact words you'd say to (a) reassure the customer you can likely get the exact truck, and (b) what you'd ask the desk to do — without over-promising before the locate confirms the car exists. Then write the fallback line if the locate comes up empty.

C8. Build a fresh-car merchandising checklist. Write the step-by-step checklist your lot crew would follow to get a freshly reconditioned used car "inventory-ready" fast — from "car comes off the line" to "live online." Include the photo shot-list count, the description must-haves, the price-to-market check, and the target time-to-line in days. Make it something a new employee could follow on day one.

Part D — Synthesis & Critical Thinking ⭐⭐⭐

D1. A used manager brags that her average front-end gross per car is the highest in the dealer group. Her GM points out her total used gross and her turn are both near the bottom. Reconcile these facts. Who's running the department better, and what's the manager optimizing for that's hurting the store?

D2. "Pricing to market on day one means giving up gross — you're just being lazy and discounting." Refute this using the aging curve, holding cost, and the golden window. Where does the "extra" gross the high-pricer thinks they're protecting actually go?

D3. Is there ever a legitimate reason to price a used car above the market band (over ~100%)? Argue both sides. (Consider genuinely rare configurations, exceptional mileage/condition, a hot segment with thin supply — and the risk of fooling yourself with "this one's special.")

D4. Connect inventory management to Theme #3 (ethics are profitable). Pick three specific inventory practices from the chapter and show, for each, that the honest move and the profitable move are the same move. Then find the hardest case: is there any inventory situation where honesty and profit seem to conflict? How do you resolve it?

D5. A dealer principal says: "Software made the used-car manager's job easy — anyone can read a dashboard now." Where is this right, and where is it badly wrong? What does the manager still do that the software can't — and why does that judgment still command a manager's salary?

Part M — Mixed / Interleaved Practice ⭐⭐–⭐⭐⭐

These deliberately combine this chapter with earlier ones. Name the connection as you answer.

M1. (Ch 34 + Ch 19.) Chapter 19 taught you to price one used car to market. Chapter 34 says a manager re-prices the whole portfolio daily because the market drifts. Take a car you priced perfectly to market on Monday and explain, with a worked price-to-market number, how it can be mispriced by Friday with nobody touching it — and what daily ritual fixes that.

M2. (Ch 34 + Ch 33.) Using the desk (front-end + back-end gross) from Chapter 33, explain why a salesperson grinding for a big front-end gross on a 75-day-old over-priced unit is fighting a losing battle — and where that front-end gross was actually won or lost. Then say what a well-managed fresh unit hands the salesperson instead.

M3. (Ch 34 + Ch 18 + Ch 1.) Yolanda wholesales out a 110-day large sedan at a $600 loss to free cash for compact SUVs. Using "make your money on the buy" (Ch 18/19) and the four profit centers + volume-and-velocity (Ch 1), argue that booking a $600 loss can be the profitable decision. Put a rough number on the velocity she buys with the freed capital.

M4. (Ch 34 + Ch 4 + Ch 2.) Chapters 2 and 4 said customers research 14+ hours and arrive digitally first. Chapter 34 says the car sells online before it sells on the lot. Tie these together: how does the modern digital customer make merchandising (photos/description) a higher-leverage skill than the in-person walk-around for getting the customer in the door? (Note: the walk-around still matters — for closing the customer who shows up.)

M5. (Ch 34 + Ch 11.) Chapter 11 taught the trade-in appraisal (ACV). Chapter 34 says trades are the cheapest sourcing channel but you can't control the mix. A customer's trade is a clean compact SUV — exactly the hot segment you're starved in (15-day supply). How should the inventory need legitimately inform how aggressively you appraise that trade, and where is the ethical line (Ch 11's "honest in")?

M6. (Ch 34 + Ch 30 ahead/Ch 3.) The "honest-flaw photo" (§34.4) pre-qualifies buyers and protects the deal. Connect this to Chapter 3's idea that information reduces customer fear. Why is showing the curb-rashed wheel online both the ethical move and the move that sells the car faster? What does hiding it actually cost?

M7. (Ch 34 + Ch 22.) Recall the Okafor financing build from Chapter 22 — front-end gross was thin (~$200) and the deal was carried by the back end (F&I). Now layer in Chapter 34: if that same car had been an aged, over-priced unit instead of a well-managed fresh one, what would have happened to the already-thin front-end gross — and why does that make a store even more dependent on F&I and on inventory discipline? Tie it to "inventory IS gross management" (§34.7).

M8. (Ch 34 + Ch 16.) Chapter 16 called the CRM your most valuable asset and follow-up "the business." Chapter 34 lives in inventory/pricing software (vAuto, etc.). A skeptic says "it's all just software." Distinguish what the CRM/follow-up tools do (relationships over time) from what inventory tools do (the portfolio of metal right now), and explain why a great salesperson-on-the-way-to-management should be fluent in both.

Part E — Research & Extension ⭐⭐⭐⭐

Optional, for the motivated reader. These send you outside the book.

E1. Tool teardown (snapshot warning applies). Pick one inventory tool named in the chapter (vAuto, Stockwave, or a DealerSocket inventory module) and research its current publicly described features (vendor site, demos, reputable industry coverage). Write a one-page summary of what it claims to do for stocking, pricing, and merchandising — and flag anything that differs from the chapter's snapshot description. (Remember: the software market changes fast; verify live.)

E2. Live market study. Pick one used segment (e.g., compact SUVs) and one model. Across a major shopping site within 100 miles of you, record price, days-listed (or first-seen), and photo count for 15 listings. Compute each car's rough price-to-market vs. the set's average, and look for the relationship between photo count + price-to-market and how long the car has been listed. Write up what you find. Does the chapter's "price gets you seen, photos get you clicked" pattern show up in real data?

E3. Allocation deep dive. Research (industry press, dealer forums, OEM dealer materials if accessible) how new-vehicle allocation actually works for one real manufacturer, in general terms. What factors drive it? How has it changed since the 2021–2022 inventory shortage? Write a short, honestly-hedged summary — and note where you're unsure, since allocation formulas are proprietary and shift over time.