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Ghost kitchens : the next disruption in the restaurant industry ?
8 Jan, 2018 | intotheminds | Posted By Pierre-Nicolas Schwab.


ghost kitchen make perfect economic sense : margins are thin in the restaurant industry, driven by high employees-related costs, rent, expensive equipment and variability in demand. Setting up a restaurant is a bet with a 5 to 20-year time horizon depending on myriad factors : your positioning, the location, and many exogenous factors out of your control. Eliminating all those risks seems like a logical move :

how to make a restaurant less location-dependent ?
how to adapt quickly to demand ?
how to reduce fixed costs (renting and equipping a place) ?
The bright sides : 3 major advantages of ghost kitchens

**The 3 major advantages of ghost kitchens are their answers to the 3 problems listed above :

the restaurant is not location-dependant anymore. If there is an event likely to generate massive flow of potential customers, you can move
ghost kitchens can adapt quickly to demand : the standardized kitchen unit just has to be multipled, which is not possible with street food vans unless you own several of them (which brings us to the 3rd advantage).
ghost kitchens, because they are rented from online platforms like Uber Eats and Deliveroo, transfom fixed costs into variable ones. This is great to test your idea and is a cheap way to do market research and test traction on a market.

** The dark sides of Uber’s and Deliveroo’s ghost kitchens
1. Why would one still rent a place to operate a restaurant ?
Good question indeed. If all hurdles and risks of operating a brick-and-mortar restaurant can be removed, why would you still want to rent a place (fixed costs), buy the equipment (fixed costs), hire employees (fixed costs) and wait on patrons to come in (variable revenues) ? If a platform like Uber or Deliveroo can provide you with customers’ orders, the need to have a brick-and-mortar place would vanish.
But if every single restaurant owner adopts that posture, how will city centers look like on the long run ?

2. Dependence towards platforms
What happened with the hospitality sector may well happen on the middle-term in the restaurant industry too. Uber eats, Deliveroo have disrupted the way we consume food. This is a new societal change that is most to be felt in Europe (urban Americans use already to get food delivered to their homes, most restaurants in US cities proposing at home delivery) : it has become easier than ever to get food delivered at home.
If enough restaurant owners make a significant percentage of their revenues through those platforms, they will eventually become dependent on them and will struggle like hotels are now struggling with Using platforms is a wise strategy to grow revenues but it can also become a very dangerous one if your dependence to them increases.
beyond_your_control  commercial_kitchens  disruption  fixed_costs  food_delivery  kitchens  platforms  restaurants  variable_costs  Deliveroo  Uber  asset-light  event-driven  experimentation  test_marketing  pop-ups  cold_storage  on-demand  dark_side  virtual_restaurants  bricks-and-mortar 
january 2019 by jerryking
Look to Hong Kong data for a glimpse into global retail troubles - The Globe and Mail
Look to Hong Kong data for a glimpse into global retail troubles Add to ...
Special to The Globe and Mail

Published Thursday, Aug. 21 2014,

The feng shui from Hong Kong is distinctly bearish. Li & Fung Ltd. is a logistics and supply management firm, in simple terms a middle-man that bridges the gap between big fashion and apparel retailers, such as Target Corp., Wal-Mart Stores Inc. and Marks & Spencer Group PLC and their largely Asian suppliers. Owning no sewing machines and employing no seamstresses, it nonetheless is at the cutting edge of global retailing, making $8.7-billion (U.S.) in revenues over six months. It is no more nor less than the back office for some very big brands, organizing the supply of raw materials, the manufacturing, the distribution and warehousing of the frocks you see in the shops.
Carl_Mortished  Hong_Kong  Li_&_Fung  fashion  Marks_&_Spencer  asset-light  logistics  supply_chains  data  apparel  Target  Wal-Mart  retailers  middlemen 
august 2014 by jerryking
What Cars Did for Today's World, Data May Do for Tomorrow's -
August 10, 2014 | NYT | Quentin Hardy.

General Electric plans to announce Monday that it has created a “data lake” method of analyzing sensor information from industrial machinery in places like railroads, airlines, hospitals and utilities. G.E. has been putting sensors on everything it can for a couple of years, and now it is out to read all that information quickly.

The company, working with an outfit called Pivotal, said that in the last three months it has looked at information from 3.4 million miles of flights by 24 airlines using G.E. jet engines. G.E. said it figured out things like possible defects 2,000 times as fast as it could before.....Databricks, that uses new kinds of software for fast data analysis on a rental basis. Databricks plugs into the one million-plus computer servers inside the global system of Amazon Web Services, and will soon work inside similar-size megacomputing systems from Google and Microsoft....If this growing ecosystem of digital collection, shipment and processing is the new version of cars and highways, what are the unexpected things, the suburbs and fast-food joints that grew from cars and roads?

In these early days, businesses like Uber and Airbnb look like challengers to taxi fleets and hotels. They do it without assets like cars and rooms, instead coordinating data streams about the location of people, cars, and bedrooms. G.E. makes engines, but increasingly it coordinates data about the performance of engines and the location of ground crews. Facebook uses sensor data like location information from smartphones
Quentin_Hardy  data  data_driven  AWS  asset-light  massive_data_sets  resource_allocation  match-making  platforms  resource_management  orchestration  ecosystems  GE  sensors  unexpected  unforeseen  Databricks  Uber  Airbnb  data_coordination  instrumentation_monitoring  efficiencies 
august 2014 by jerryking
Managing Risk In the 21st Century
February 7, 2000 | Fortune | By Thomas A. Stewart.

Take risk management, a responsibility of the treasury function. Most risk managers haven't begun to cope with the real threats 21st-century companies face. Like the drunk in the old joke who looks for his lost keys under the streetlamp because the light is better there, risk management is dealing with visible classes of risk while greater, unmanaged dangers accumulate in the dark.

Risk--let's get this straight upfront--is good. The point of risk management isn't to eliminate it; that would eliminate reward. The point is to manage it--that is, to choose where to place bets, where to hedge bets, and where to avoid betting altogether. Though most risk-management tools--insurance, hedging, diversification, etc.--have to do with reducing loss, the goal is to maximize the gains from the risks you take (alpha? McDerment?)

So where should we look for these new risks?

--Your reputation or brand. When a bad batch of carbon dioxide in Coca-Cola sickened some Belgian children last summer, Coke's European operating income fell about $205 million, and Coca-Cola Enterprises, the bottler, incurred $103 million in costs. What about the cost to brand equity? One highly imperfect proxy: Coke's market capitalization fell $34 billion between June 30 and Sept. 30, 1999.

--Your business model. Asset-free, knowledge-intensive competition is to entrenched business models what the Panzer was to the Maginot Line. MP3s changed the music business more fundamentally than anything since radio. E*Trade, 18 years old, forced Merrill Lynch, 180, to change its way of doing business. Yet the new guys' very nimbleness creates its own risks, which traditional risk management can't help. You can protect the hard assets of a brick-and-mortar mall. Click-and-order stores are much more exposed: Cash flow is just about all they've got.

--Your human capital. The obvious human-capital risk is flight--especially in a tight labor market--but it's only part of a larger, subtler problem. When the CEO intones, "People are our most important asset," he's wrong, even if he's sincere. People are your most important investors. Your stock of human capital matters less than your flow of it. Any turbulence--and is there anything but turbulence these days?--can disrupt the flow, damaging your ability to attract human capital or people's desire to collaborate. Says Thomas Davenport, a partner at Towers Perrin: "Uncertainty is a real enemy of human capital. People rebalance their ROI by cutting back the investment."

--Your intellectual property. Many risks to intellectual property--theft, for example--can be dealt with in obvious, if sometimes onerous, ways. Here's the cutting-edge question: How do you manage risk in the process by which new intellectual property is created? How do you cope with the fact that the safer a given R&D project is, the less likely it is to be a big-money breakthrough? How do you balance the virtues of specialization against those of diversification?

--Your network. No company is an island, entire of itself; odds are your business is embedded in a network you do not control. It's not just that AOL might crash and cost you a few days' sales; your whole business may depend on tangible and intangible assets that belong to outsourcing partners, franchisees, sugar daddies, or standard-setters.
There are a couple of patterns here. First, an ever-greater part of business risk comes from sources your company can't own--people, partners, environments. Second, volatility isn't just a currency or stock market risk anymore. Labor markets, technologies, even business models oscillate at higher frequencies--their behavior more and more resembling that of financial markets.

In those patterns are hints of how to manage intellectual risks--which we'll examine next time.
risk-management  21st._century  risks  Thomas_Stewart  reputation  branding  business_models  financial_markets  talent_management  intellectual_property  networks  human_capital  turbulence  uncertainty  volatility  instability  nimbleness  labour_markets  accelerated_lifecycles  intellectual_assets  e-commerce  external_interaction  talent_flows  cash_flows  network_risk  proxies  specialization  diversification  unknowns  brand_equity  asset-light  insurance  hedging  alpha  Michael_McDerment 
june 2012 by jerryking

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