Thank you for your blog! it’s really interesting to see that IKEA has introduced AR & VR technology to help customers to increase customer’s convenience. But I’m wondering how will the customer shopping behavior change after using AR & VR tech and its impact will be translated to the IKEA’s topline? Additionally, I’m curious to understand did IKEA make this move because of any existing competitive forces in the market, as I’m sure they aren’t the first mover in the furniture retail business to use the AR & VR tech. And really interested to see how this digital strategy pans out for IKEA.
Thank you for an interesting blog! I’m wondering how are the competitive forces from other players in the space like a real estate analytics platform that helps real estate investors and property owners set the right rental rates of their properties by analyzing the local market data and how AirDNA differentiates itself from these platforms? Other aspects that I’m curious is about is the efficiency of their tools & the accuracy of their input data.
Thank you for an interesting blog!
It was interesting to learn about ELSA’s value creation, capture and monetization strategy. I’m wondering if the ELSA starts issuing language completion certificates which can be accepted widely by universities as an equivalent to IELTS or TOEFL, similar to what Duolingo has done which can be a steady monetization strategy for ELSA and can also contribute in breaking the monopoly of the English proficiency test landscape (as currently there are 2 main players in this space – IELTS & TOEFL). Additionally, I’m curious how is ELSA dealing with churns?
Thank you for the post, I tried two different phrases 1) be like a dog with a bone 2) Underdog and both gave very surprising results, for underdog it gave a dog cartoon character dressed in a super hero suit and for be like a dog with a bone the result was few distorted faces of dogs (majority of the dog faces were better than human faces) with a bone. It is very clear AI has a hard time interpreting the idioms and sentences.
Thank you for the post! It really makes me think the data training is skewed because of the lack of diversity among creators that is reinforcing the societal biases in the AI result.
Thank you for the post! It is really disappointing to see gender bias that AI relates leaders with old men. It is upsetting that its the inherent bias in the data while training the AI and should be pointed out to the creators.
Thank you for an interesting post! This idea of creating a community around the integrated health data, but I’m really curious to know how is the data quality of integrated data from different sources and if the TAM is big enough of the people who use more than 1 device to get their health information. For Example: if someone using an apple watch will the same user get a fitbit. Additionally, I’m really curious to know the competitive forces that Evidation is facing from big players like apple, as most of the players in this space are have an app to display the data analysis recorded by the respective device.
Thank you for an interesting blog Amy! Classpass has definitely created a very interesting business model and has build a flywheel that is commendable. But while I was reading it, I could see the main lever for value creation that classpass is providing fitness service at a lower price through subscription model compared to if the customers go directly to the particular studio, or providing referral or sign up discounts which I think will create the adverse selection problem for the business. Such that only price sensitive customers will be attracted to classpass which will in turn cause a bigger issue of customer retention. I’m really curious to know how ClassPass have addressed that issue, cause this flywheel only work if there is customer stickiness but if the business is attracting the wrong price sensitive customers that can cause the flywheel to break in no time.
Thank you for an interesting blogpost, one thing that I really find super interesting that mpharma realized the root cause and pivoted to their business to VMI. It is definitely a great solution for the end to end value chain in the medical ecosystem. In my opinion it will be very beneficial for all the parties in the value chain, for patients – they can improved affordability and availability, for Pharmacy and manufacturers they can better predictability of demand and can optimize the supply of drugs in a particular geographical location and can prevent overstocking. Moreover, I think mpharma can also monetize on sharing this data with the drug manufactures as this is super beneficial for the drug manufacturer to build their market entry strategy if they know the demand of a drug in a country.
Great blog and an interesting read Yannik! Uber has definitely done a great job in eliminating the customer pain points around commuting by leveraging customer data But as I see their increasing challenges especially in the developing economies like India: frequent cancellation by drivers, drivers insisting on cash payment due to lack of payment transparency for drivers (which was sorted 2 months back by uber after being in India for almost 10 years), poor customer service, and now rising competition with electric vehicle ride hailing player. Uber had been able to do good in the US and some part of the European market, but it has struggled from the beginning in the developing market due to stiff competition. I’m really curious to know what will be their next growth strategy, what will be their future? And how are they going to use the plethora of customer data to make their next bet?
Thank you for sharing. As an Airbnb user, I can relate how they have disrupted the travel industry by breaking down the barriers for the customer and reducing the friction for making reservations for homestays, experiences and activities. I wonder what will be the future for Airbnb, with their fast growth, have they already crossed the chasm, or they need a new S-curve? how they can use data to continue staying competitive?
Interesting read Jiwon! I’m a Bonvoy member myself and a loyalist, learning about their past and its evolution was really exciting. As I read, I felt they’re a success in the face of the disruption such as Airbnb and how they’re equipped to provide the customer preferences by knowing their customers better and leveraging it to provide great experiences and I think Marriot does a great job. But I’m curious to know what the future for Marriott will be especially with these hacking incidents and I’m more concerned about the data privacy issues around it, and will that discourage Marriott loyalist to share their data with Marriot or may it lead to a greater churn.