Joyce Ma

HBS Prep · Strategy

Breezm

ClassMon, Oct 26 13:30–15:00 (Boston time) · Strategy · Juan Alcacer

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Contents6 sections
  1. The Professor's Questions
  2. My Answers
  3. Case Summary
  4. Key Data
  5. Key People
  6. Core Tensions

The Professor's Questions

  1. What is Breezm’s value proposition, and how is it different from incumbents like Luxottica or newer players like Warby Parker?
  2. Does Breezm have a competitive advantage? If so, what is it, and how sustainable is it?
  3. What are Breezm’s key internal bottlenecks or constraints for growth?
  4. Evaluate the three growth strategies Breezm faces: operational optimization in Seoul, domestic expansion within Korea, and international entry. What are the trade-offs associated with each option?
  5. What should Breezm do next? Why? What are the assumptions behind your recommendation? How would you test those assumptions?

My Answers

Q1. What is Breezm’s value proposition, and how is it different from incumbents like Luxottica or newer players like Warby Parker?

Breezm sells a better fit, not just a printed frame. It combines facial measurements, an eye exam, frame adjustment, custom production, and aftercare. A customer should feel less pressure, less slipping, and better lens alignment. The product is the whole service, including a 45-day redo or return policy.

Luxottica combines brands, lenses, manufacturing, and retail at scale. Breezm also integrates activities, but uses that control to solve an underserved fit problem. Warby Parker initially challenged price and shopping convenience with $95 prescription frames and then built stores and labs. Breezm is not simply another cheaper online brand: its Korean model relies on licensed opticians and in-person consultation.

The trade-off is time and cost. Customers wait 10–14 days and staff spend substantial time on consultation. I would target people with persistent fitting problems first, rather than claim every buyer values customization equally.

Q2. Does Breezm have a competitive advantage? If so, what is it, and how sustainable is it?

Yes, it has an emerging advantage, but not a proven permanent moat. The strongest asset is the linked system: fitting data, optician software, manufacturing know-how, and customer feedback. Digital Fitting reduced a designer's 1–2 hour task to roughly ten minutes for a trained optician. That is a concrete improvement in the economics of customization.

The 31% cumulative repeat purchase rate and 12.5 inventory turns support customer acceptance and a leaner stock model. Neither proves exceptional profitability: 2022 operating loss was $2.901 million on $4.448 million revenue. Nor does collecting 1,200 data points automatically create a network effect. More data matter only if they improve fit, reduce remakes, or make staff more productive.

Equipment and many suppliers are accessible to rivals. Patented hinges protect some designs, not the entire business. I would defend the advantage through measured fit outcomes, faster learning, reliable optician training, and ownership of the customer relationship. It is strongest where these activities reinforce each other.

Q3. What are Breezm’s key internal bottlenecks or constraints for growth?

The immediate constraint is profitable throughput across the whole system. Printing capacity exists, but more output helps only when stores can attract, fit, and retain customers at a sound contribution margin. Eight stores and 15,000 annual pairs imply a simple average of 1,875 pairs per store, but store opening dates and mix must be checked before calling any location inefficient.

There are four internal bottlenecks. First, consultation and optician skills can limit daily capacity; customers spend about 90% of store time in consultation. Second, the two manufacturing processes need different quality controls, including dye consistency and finishing. Third, broad in-house functions create a high fixed expense base. SG&A alone was slightly above annual revenue in 2022. Fourth, the founders must manage retail, software, design, factories, and expansion at once.

The old $313 cost table includes R&D and SG&A, not just manufacturing. I would rebuild current economics by product, store cohort, and customer channel before deciding that scale alone solves the loss. Missing data include remake rates, customer acquisition cost, mature-store contribution, cash runway, and unused capacity by material.

Q4. Evaluate the three growth strategies Breezm faces: operational optimization in Seoul, domestic expansion within Korea, and international entry. What are the trade-offs associated with each option?

Seoul optimization offers the lowest learning cost. Existing stores can test appointments, consultation design, optician training, product mix, and factory utilization. Its weakness is a ceiling: Korean prices are highly competitive, and many customers may see less need for customization. Optimization must have a deadline and clear targets.

Domestic expansion tests whether the model can travel without adding another country. Regional cities can fill existing factories and broaden demand. But new stores still require licensed partners, training, marketing, and cash. It may replicate weak economics, and a small market share does not mean every new location is attractive.

International entry offers larger markets and potentially stronger willingness to pay for fit. The US market was about $42 billion in the case, compared with Korea's $2 billion. But market size is not accessible demand. Local service, prescriptions, returns, distribution, regulation, and acquisition costs must be validated. I would use a tightly bounded pilot rather than a multi-country launch.

My ranking is Seoul economics first, a small domestic replication test second, then an overseas pilot when evidence supports it. This sequence has an opportunity cost: rivals may move sooner. I would still run low-cost overseas demand interviews in parallel, without committing a full store network.

Q5. What should Breezm do next? Why? What are the assumptions behind your recommendation? How would you test those assumptions?

I would authorize a 90-day operating proof in Seoul and reserve a small budget for overseas customer discovery. The operating work would measure contribution after actual service labor, remake cost, and customer acquisition cost; it would compare mature stores and products rather than only group gross margin. I would also test whether better scheduling and digital fitting increase completed, satisfactory orders per optician hour.

My assumptions are that demand can grow without a damaging price cut, fit remains consistently better as volume rises, existing factories can absorb more orders, and current cash can fund the test. I would test price with limited offers and real bookings, quality with 45-day return and remake outcomes, capacity with controlled batches, and demand with repeatable acquisition cohorts. Any numerical success thresholds should be approved after baseline measurement; they are not supplied by the case.

If mature stores show positive contribution after all local costs, and a second location can reproduce it without founder intervention, open one domestic test store. If interviews and paid commitments show that an overseas niche offers enough extra contribution to cover service and acquisition costs, test one city with a qualified local partner and legal review. Stop or redesign if remakes rise or acquisition costs consume the extra margin.

I would not make the 2027 IPO date the decision rule. The price of this choice is slower headline growth and possible delay of the IPO. The benefit is learning whether a customized product can support a repeatable business before multiplying its fixed commitments.

Case Summary

Park had previously built the eyewear brand ALO and brought experience of the industry, consumers and retail; Sung moved from accounting and investment banking into manufacturing entrepreneurship, and saw how well small, high-value eyewear suited 3D printing. The two met in 2016 and, drawing on Humax Optics' manufacturing capabilities, spent a year on research before founding Breezm in 2017. Its point of entry was the problem that traditional standard frames don't properly fit every face.

In 2018 the company tested demand with ten pop-up stores, selling 25 pairs on the first day. At the end of the year it opened its first permanent store. It linked face scanning, style recommendations, eye exams, digital fitting, made-to-order production, and a re-check at pickup; customers were buying comfort and optical fit, with 3D printing as the means of delivery. In 2019 it introduced Face Ruler and AI Fit Finder; in 2021 its digital fitting system turned work that used to take a designer 1–2 hours into roughly ten minutes for an ordinary optometrist after one day of training.

The company kept expanding its polymer styles and in 2022 launched a titanium line. Metal 3D printing was too costly, so the team switched to laser cutting and proprietary hinges. This shows that its core promise is custom fit; not every product has to use the same manufacturing technology. Design, R&D, the factory and in-store service are run by the company, while lenses are bought from outside suppliers.

By 2022, Breezm had eight stores and annual sales of about 15,000 pairs. Revenue grew from US$1.7 million in 2020 to US$4.448 million in 2022 (exhibit basis), with gross margin of about 60.5%; but operating losses widened from US$1.64 million to US$2.901 million. The factory had idle capacity, stores were built around one-on-one consultations, about 90% of customers' time in store went to consultation, and delivery took 10–14 days.

The two founders hope to break even in 2024 and go public in 2027, and face three paths: first improve the efficiency of existing operations in Seoul, replicate stores in other Korean cities, or enter larger overseas markets with different pricing environments. Korea accounts for only about 1.4% of the global market, but overseas opportunities come with the costs of brand-building and customer acquisition, local service and regulatory adaptation. The case stops at the moment of choosing the sequence of growth.

Key Data

Fact or calculation Value and meaning Source
2020 / 2021 / 2022 revenue US$1.7M / 2.878M / 4.448M; 2022 growth 444.8÷287.8−1≈54.55% Exhibit 2, p.13; text says about US$4.5M
2022 gross profit and operating loss Gross profit US$2.689M; gross margin 268.9÷444.8≈60.45%; operating loss US$2.901M Exhibit 2; text says about 61%
Expense burden SG&A US$4.475M, R&D US$0.271M, other operating expenses US$0.844M; total US$5.59M, about 125.7% of revenue Exhibit 2; rounding leaves line items US$2K off the operating loss
Static break-even revenue 559÷60.45%≈US$9.247M, about 2.08× 2022 revenue; only a sensitivity illustration assuming costs, mix and gross margin stay constant Derived from Exhibit 2; not an operating forecast
Annual volume, stores 15,000 pairs, 8 stores; simple average about 1,875 pairs/store/year, not to be taken as mature-store efficiency since opening dates and store formats aren't adjusted for pp.8, 12
Rough average revenue per complete pair US$4.448M÷15,000≈US$296.5; includes lenses and product mix, not directly comparable to the US$140 polymer frame price Derived from Exhibit 2 and p.12
Capacity Polymer 50,000 pairs/year; laser cutting 20,000 pairs/year. Two technologies with different mixes; 15,000÷70,000≈21.4% is only a rough aggregate ratio, not verified actual equipment utilisation p.10
Early frame cost table Assumes 400/month output, 6,000 cumulative; total cost 313 = fixed 186 + variable 127; of which COGS 139, R&D 38, SG&A 136 Exhibit 11, p.17; 313 is not pure manufacturing cost
Early unit contribution Then price 215 − variable cost 127 = 88; monthly fixed cost 186×400 = 74,400; statically needs about 846 pairs/month to cover fixed costs Exhibit 11, December 2020 conditions; not directly applicable to 2023
Sensitivity to lower frame price If old variable costs still applied, 140−127=13; 74,400÷13≈5,723 pairs/month, above nominal polymer monthly capacity of 4,167; signals costs must be re-measured, not a claim that this is necessarily the company's current position Cross-period illustrative assumption from p.10 and Exhibit 11
Inventory turnover 12.5×; industry 2.4×, Warby Parker 4.1×. Breezm mainly holds raw materials and WIP; business mix and definitions differ p.9
Customer experience About 1,200 measurement points; 10–14 day delivery; 45-day returns/remakes; check-ups at 6–12 months pp.11–12
Repurchase rate 31% cumulative 2019–2022, not an annual retention rate p.8
Global / Korean market US$139 billion / US$2 billion in 2022; retail-value basis, not directly equivalent to any company's revenue opportunity pp.1–4, Exhibit 3

Key People

Person/organisation Contribution or constraint Role in the decision
Zenma Hyungjin Park Marketing, eyewear retail experience and consumer understanding Co-founder; jointly decides the growth sequence
Will Wooseok Sung Finance, manufacturing and 3D printing exploration Co-founder; links capital discipline with production expansion
Humax Optics / Charlie Yoon Eyewear materials, design, manufacturing and hinge capabilities Co-founding resource provider; Yoon later became CPO
In-store optometrists Consultation, eye exams, digital fitting, after-sales Key execution point for customer experience and regulatory requirements
HP / EOS and lens suppliers Equipment, materials optimisation, lens selection Non-exclusive external capabilities; the partnerships themselves can't be treated as a permanent barrier

Core Tensions

  1. Prove the existing model can make money first, or grab overseas demand better suited to customisation. Optimising first costs speed; going abroad first may replicate the losses.
  2. Made-to-order manufacturing reduces inventory, but doesn't eliminate consultation, quality and after-sales costs.
  3. Lower prices can expand demand, but squeeze the unit contribution that covers fixed capacity.
  4. Controlling the whole chain improves fit, but also loads management, cash and talent constraints onto a startup all at once.
  5. The IPO timeline drives scale expansion, but can't substitute for genuine validation of unit economics.