Thanks for this interesting post! As an ecommerce platform, Wayfair has a lot of data on customer browsing and buying habits. For their next digital transformation, it would be interesting to see how they could take my information to create recommendations and design a room for me. As other ecommerce brands move online direct to consumer, it will be interesting to see how Wayfair uses its technology, data, and infrastructure to maintain its competitive advantage.
This is an interesting post. As an avid Spotify playlist user, I am always amazed by how accurately their curated playlists fit my needs. As Spotify accumulates more data on their consumers, they will continue to lead the music streaming market. I am interested to see how they will use this data to revolutionize the music listening experience as technology continues to improve. Thanks!
This is a very interesting post. I am also concerned on how quickly McDonalds will be able to capture the value of this data driven approach as they push the costly initiative to franchisees. I wonder if they need to test things in one region with a few top-tier franchisees before rolling this out across all storefronts. Furthermore, McDonalds needs to focus on menu change and providing healthier options to customers in addition to utilizing data to increase sales, if they want to remain relevant in the long-term.
This is a really interesting post. As a Sweetgreen App user, I completely agree that they’ve made the ordering process seamless and enjoyable. I wonder how they can use their app as a competitive advantage as other fast casual restaurants create similar apps. Furthermore, how useful is the data for the company if they are constantly changing their menu to match seasonal ingredients? If the data recommends they offer an ingredient that is not in season, how will they balance this? Thanks!
Thanks for this interesting post. I understand how Glassdoor can create value for employers and job-seekers, but how has Glassdoor experimented with monetization and capturing value for the company? It appears that they charge users to create paid profiles, but what incentives have the played with to increase the number of paid subscribers and reduce the number of free riders?
Thanks for this interesting post. It’s a shame that on-demand cleaning platforms are struggling to exist. Do you think there is a business model that works for this type of program? I wonder if a company hired cleaners as full time associates, rather than using contractors, this could be sustainable with enough scale. This would remove the desire for disintermediation and improve standardization and training amongst cleaners.
Thanks for this interesting post. As more CPG companies begin to use crowdsourcing to select new flavors, I wonder of this method of customer engagement will become more or less effective. Also, how sustainable is this growth if companies are using catchy short-term campaigns like this to get customers to purchase new flavors on a whim? It will be interesting to see how this tactic evolves over time!
It is hard to ignore Amazon’s incredibly large user base as a threat to Etsy. At the moment, it sounds that Amazon is not prioritizing it’s handmade section, and probably won’t focus on this for a few years; however, I think this program could gain traction with suppliers as a way to connect with many more consumers. Even though the Etsy network is strong, it is still tiny compared to Amazon, and suppliers looking to achieve greater scale will definitely begin to multi-home to wherever the customers are shopping.
Great post! While I like that Coffee Meets Bagel focuses on improving the female’s user experience in order to increase their female user base, their decision to send a small number of potential matches to users each day reduces the time spent, and therefore the stickiness, of users to the app. If someone does not like their suggested “bagels” that day, they have to wait a full 24 hours before using the app again. In the meantime, they may swipe through Bumble’s unlimited potential suitors, increasing multi-homing and decreasing the need to log back on to Coffee Meets Bagel.
This is a very interesting topic! As a frequent OpenTable user, I’ve noticed that for most restaurants you can book on their website (powered by OpenTable) or you can book directly through OpenTable’s site. It may be a good strategy for OpenTable to try to increase stickiness with it’s restaurants by increasing traffic to OpenTable site as the first source consumers go to when considering where to go to dinner. As Resy become more popular, OpenTable will need to find ways to add value to consumers and suppliers on their platform, perhaps through unique experiences or special website features, to maintain market leadership.
This is a really exciting development for the pharma industry and future drug discovery. I am curious to understand how BenevolentAI has a competitive advantage over the other drug discovery startups using AI mentioned at the end of your post. Is this something that many companies are developing and seeing the benefits of or is BenevolentAI using the tech more successfully than others?
This is a really interesting use of technology to drive retail sales in a smaller footprint. I would love to see how this technology could be applied to other retailers of items such as fashion or furniture so they can reduce their inventory carrying cost, real estate investment, and improve customer experience to better compete with online retailers.
Interesting topic. It is hard to allocate Domino’s success to its improved technology or its improved pizza quality, but it is great to see a CEO make changes to grow the business across multiple fronts. While Domino’s has taken a bet on self driving cars, their competitor Pizza Hut also announced a $130M investment in technology and advertising at the end of 2017. Their first announcement was a new pouch and delivery system that promised to deliver pizza 15 degrees hotter. It will be interesting to see how these competitors continue to create and claim value in the future.