Question 1

Walk me through how you'd allocate a new style with no sales history.

Accepted Answer

New product is the heart of the job. There's nothing to forecast from, so they want to see whether you have a method or just split it evenly. Find a like item: a similar style, price point and category from a past season, and use its store-level performance as a stand-in Group stores into clusters by volume, climate or customer profile so each cluster gets a sensible share Apply the category's size curve at the store or cluster level instead of a chain-wide one Hold back reserve at the distribution center so you can chase the stores that sell through quickly Say what you'd check after the first week of selling and how you'd adjust

Question 2

What's a size curve, and how do you know when yours is wrong?

Accepted Answer

In apparel and footwear, bad size curves cause more broken assortments and markdowns than almost anything else. They want to know you've actually built and questioned one. Define it plainly: the share of each size you send, based on what each store or cluster actually sells Explain that sales history is skewed by stockouts, so a size that sold out early looks weaker than it was Describe signals it's off: one size selling out while others sit, heavy transfers of a single size, or leftover smalls at markdown Mention correcting for lost sales and refreshing curves each season

Question 3

How do you calculate sell-through and weeks of supply, and what does each tell you?

Accepted Answer

These are the everyday language of the job. A slip here tells the interviewer you'll need hand-holding on the basics. Sell-through is units sold divided by units received or available over a period Weeks of supply is current on-hand inventory divided by the recent weekly sales rate Sell-through tells you how a store responded to what you sent; weeks of supply tells you how long its stock will last Use them together: high sell-through with low weeks of supply means a store is ready for more

Question 4

A buyer wants most of a hot item sent to the flagship stores. The data says smaller stores sell it just as well. What do you do?

Accepted Answer

Allocation lives in constant friction with buying. They want to see you push back with data without starting a turf war. Ask the buyer what they're trying to achieve, since it may be a marketing launch or a vendor commitment you don't know about Share the store-level sell-through on a like item in a simple chart, not a raw export Propose a middle path, such as a heavier flagship launch with reserve held back for the smaller stores Agree on what you'll both look at after launch week and when you'll revisit

Question 5

Tell me about a time an allocation you made went badly. What happened next?

Accepted Answer

Every allocator gets calls wrong. They're checking whether you notice fast, own it and fix it rather than let it age into markdowns. Pick a real miss with a clear cause, such as a stale size curve or a store that was remodeling Explain how you caught it: a weekly exception report, a store call, a sell-through dashboard Describe the fix, whether transfers, holding back the next shipment or changing the cluster Say what you changed in your process so it didn't happen again

Question 6

When would you move inventory between stores instead of waiting for replenishment?

Accepted Answer

Transfers cost money in freight and store labor. They want to know you weigh that cost instead of shuffling stock every time a report looks lopsided. Transfer when the product is seasonal or time-limited and waiting means a markdown Weigh freight and handling cost against the margin you'd save Prefer moving stock between nearby stores or pulling from warehouse reserve before emptying a store that's still selling Mention that store teams hate constant transfers, so you batch them and explain why

Question 7

How would you group our stores into clusters?

Accepted Answer

Clustering decides how finely you can tailor an allocation. It shows whether you think about customers or only about sales volume. Start with sales volume, then layer in climate, store format, square footage and customer demographics Check that clusters behave differently in the data, otherwise they're just labels Keep the number of clusters small enough that buyers and planners can actually use them Revisit clusters when stores open, close or get remodeled

Question 8

Which allocation system have you used, and what did you do in it day to day?

Accepted Answer

The system itself matters less than whether you've run real allocations in one and understand what it does under the hood. Name the tool honestly, whether it's Oracle Retail, Blue Yonder, SAP or a homegrown setup built on Excel Describe the actual steps: loading purchase orders, setting rules and store minimums, reviewing and releasing Say where you checked the system's output by hand and why If you haven't used their tool, explain how you'd learn it quickly

Question 9

The distribution center tells you a shipment is late and will arrive after the promotion starts. What do you do?

Accepted Answer

Plans break constantly. They want to see you think across stores, marketing and the warehouse at once. Confirm the new date and quantity with the DC and the vendor team Find which stores have enough on hand to cover the promo and which will run out Move existing stock toward the stores with the biggest promo exposure Tell marketing, the buyer and store operations early so nobody learns about it from an empty shelf

Question 10

How do you decide how much reserve to hold back at the warehouse?

Accepted Answer

Reserve is where allocators earn their pay. Too little and you can't chase winners; too much and stores open with thin shelves. Base it on how uncertain the item is: more reserve for a new, untested style, less for a proven repeat Consider how quickly the DC can ship follow-up orders to stores Make sure every store opens with enough to present the product properly Set a date to release the rest so reserve doesn't sit until it's too late to sell

Question 11

Tell me about a time you had to explain an analysis to someone who didn't want to hear it.

Accepted Answer

Store leaders and buyers will push back on your numbers. They want someone who stays calm and clear. Pick a specific person and disagreement, not a general habit Explain how you simplified the numbers into the one or two points that mattered to them Show that you listened and changed something if they had a fair point Share the result and how the relationship held up afterward

Allocation Analyst interview questions and how to answer them

The 8 questions you will almost certainly get

A forgettable answer, and a better one

"Walk me through how you'd allocate a new style with no sales history."

"What's a size curve, and how do you know when yours is wrong?"

Questions to ask them

Need more Allocation Analyst interviews to prep for?

The question	What they want to know	Your angle
Walk me through how you'd allocate a new style with no sales history.	New product is the heart of the job. There's nothing to forecast from, so they want to see whether you have a method or just split it evenly.	Find a like item: a similar style, price point and category from a past season, and use its store-level performance as a stand-in
What's a size curve, and how do you know when yours is wrong?	In apparel and footwear, bad size curves cause more broken assortments and markdowns than almost anything else. They want to know you've actually built and questioned one.	Define it plainly: the share of each size you send, based on what each store or cluster actually sells
How do you calculate sell-through and weeks of supply, and what does each tell you?	These are the everyday language of the job. A slip here tells the interviewer you'll need hand-holding on the basics.	Sell-through is units sold divided by units received or available over a period
A buyer wants most of a hot item sent to the flagship stores. The data says smaller stores sell it just as well. What do you do?	Allocation lives in constant friction with buying. They want to see you push back with data without starting a turf war.	Ask the buyer what they're trying to achieve, since it may be a marketing launch or a vendor commitment you don't know about
Tell me about a time an allocation you made went badly. What happened next?	Every allocator gets calls wrong. They're checking whether you notice fast, own it and fix it rather than let it age into markdowns.	Pick a real miss with a clear cause, such as a stale size curve or a store that was remodeling
When would you move inventory between stores instead of waiting for replenishment?	Transfers cost money in freight and store labor. They want to know you weigh that cost instead of shuffling stock every time a report looks lopsided.	Transfer when the product is seasonal or time-limited and waiting means a markdown
How would you group our stores into clusters?	Clustering decides how finely you can tailor an allocation. It shows whether you think about customers or only about sales volume.	Start with sales volume, then layer in climate, store format, square footage and customer demographics
Which allocation system have you used, and what did you do in it day to day?	The system itself matters less than whether you've run real allocations in one and understand what it does under the hood.	Name the tool honestly, whether it's Oracle Retail, Blue Yonder, SAP or a homegrown setup built on Excel