Closer to home: Bol.com and Coolblue
Posted: Mon Jan 06, 2025 6:59 am
Big data: insight and value
The most interesting thing about this technological heart is the data flow that it ultimately sets in motion. Uber knows from which street corner the requests come in, at what times, but also knows where the drivers are driving around. They have exact figures about the average arrival time to a ride and where the rides go. Register that for 1,000, 10,000 rides and you have a picture for a city where people go out, where meetings end and where there is no point in waiting.
In this way, Uber optimizes where drivers can best position their vehicles to reduce arrival times and increase efficiency and speed. The combination of insights from data with a piece of technology that uses that data to bring together supply and demand enables a 'lean model' that has value in many ways. Big data; the technology produces so much data and information that all applications and insights it can provide are not yet known in advance.
Romance on demand
Uber earns its money by skimming a percentage per ride and optimally matching supply and demand. However, the latter is the crux of the matter. For example, Uber has now deployed its model and technology on Valentine's Day for #RomanceOnDemand , where people could have roses delivered on the spot (to a destination of their choice). On 'national ice cream day' Uber did not include flower suppliers or taxi drivers in its database, but ice cream men. With the same system, and the insights that the data has provided in the past, Uber brought ice cream men to ice cream lovers. On that day, you could use the Uber app to indicate where and when you wanted to eat an ice cream. Uber made sure that the ice cream truck was in the right place at the right time. Its core business may still be selling taxi rides, but that does not have to remain the case. Optimally organizing local supply and demand is what they are good at. Whether that concerns ice cream or taxis. You can imagine the various possibilities.
Closer to home, there are also plenty of examples peru phone data of Dutch companies that have optimized their technology and from there can quickly enter and change new markets. Dutch department stores and retailers in many sectors are now scratching their heads. It seems that every few months Bol.com conquers a new market. The books were the start, but now Bol.com also sells all kinds of home furnishings, baby items and DIY materials. Why should we still go to Gamma? We are familiar with Bol.com as a reliable book supplier, so why shouldn't we order our can of paint or kitchen stepladder there too?
Another example of Dutch origin is Coolblue . The company that started with a webshop in mp3 players now has 258 webshops in product categories ranging from batteries to baby monitors and BBQs. Coolblue's mission, however, is not to sell toasters, for example, but to create webshops that they are proud of. Whether they contain washing machines or toasters. On the back end, this means creating webshops that consumers can find their way around optimally. For example, Coolblue knows better than anyone whether an order button on the website should be blue or green to generate that 0.03% in extra sales.
The most interesting thing about this technological heart is the data flow that it ultimately sets in motion. Uber knows from which street corner the requests come in, at what times, but also knows where the drivers are driving around. They have exact figures about the average arrival time to a ride and where the rides go. Register that for 1,000, 10,000 rides and you have a picture for a city where people go out, where meetings end and where there is no point in waiting.
In this way, Uber optimizes where drivers can best position their vehicles to reduce arrival times and increase efficiency and speed. The combination of insights from data with a piece of technology that uses that data to bring together supply and demand enables a 'lean model' that has value in many ways. Big data; the technology produces so much data and information that all applications and insights it can provide are not yet known in advance.
Romance on demand
Uber earns its money by skimming a percentage per ride and optimally matching supply and demand. However, the latter is the crux of the matter. For example, Uber has now deployed its model and technology on Valentine's Day for #RomanceOnDemand , where people could have roses delivered on the spot (to a destination of their choice). On 'national ice cream day' Uber did not include flower suppliers or taxi drivers in its database, but ice cream men. With the same system, and the insights that the data has provided in the past, Uber brought ice cream men to ice cream lovers. On that day, you could use the Uber app to indicate where and when you wanted to eat an ice cream. Uber made sure that the ice cream truck was in the right place at the right time. Its core business may still be selling taxi rides, but that does not have to remain the case. Optimally organizing local supply and demand is what they are good at. Whether that concerns ice cream or taxis. You can imagine the various possibilities.
Closer to home, there are also plenty of examples peru phone data of Dutch companies that have optimized their technology and from there can quickly enter and change new markets. Dutch department stores and retailers in many sectors are now scratching their heads. It seems that every few months Bol.com conquers a new market. The books were the start, but now Bol.com also sells all kinds of home furnishings, baby items and DIY materials. Why should we still go to Gamma? We are familiar with Bol.com as a reliable book supplier, so why shouldn't we order our can of paint or kitchen stepladder there too?
Another example of Dutch origin is Coolblue . The company that started with a webshop in mp3 players now has 258 webshops in product categories ranging from batteries to baby monitors and BBQs. Coolblue's mission, however, is not to sell toasters, for example, but to create webshops that they are proud of. Whether they contain washing machines or toasters. On the back end, this means creating webshops that consumers can find their way around optimally. For example, Coolblue knows better than anyone whether an order button on the website should be blue or green to generate that 0.03% in extra sales.