company that helps them in store, stocking shelves, making sure inventory levels are appropriate, changing prices, etc. the small brands don t have the ability to bring in a large scale merchandising company. so they re largely on their own. so really, eyes and ears inside the store to help them recognize and identify when they need to take action in the store. the last thing i have is, did i encounter any issues that made this mission difficult? i didn t. photos uploaded. the answers verified. i m done. i just got some points. landing big orders can be a dream come true for many business owners, but as easily as those big orders can come, they can also go. the owner of a virginia printing company was left reeling when his larger clients took a step back because they were tight on cash. it was a major hit. and he had to rethink everything. starting with a refocus on smaller clients who kept his company afloat.
leading manufacturing company since it was founded back in 1873. we sat down with fourth-generation president and ceo david kohler at the company headquarters in the town they helped put on the map, kohler, wisconsin. tells us why everyth starts and ends with designs and isolation is never a good thing in this learning from the pros. it is amazing when you look at products how much has not changed and how much has really changed over the years. one thing is true when you think of the interprnet of things, yo think of how fast technology is moving. you have to change the speed of development and working with other partners to make sure that you can continue to drive development and innovation ahead of the markets. we are looking not just of next year but five years out, ten
important are those relationships. i have two sisters that were closely with me and on the board of directors. we had to spend a lot of time building a relationship with trust but did not exists at the beginning. we respect each other s strengths and differences and we come together in the toughest times and can work together. that s the most important foundation. you cannot collectively own and store a company if you don t have a solid under pending relationship and trust. there is an incredible opportunity to innovate in t areas, we are still innovating sinks and toilets today. you can make anything smart and different here. our plumbing industry was seen in the 20s or 30s is more of a
years out because that s the only way we can really drive advance development around the technologies and the products we need for the future. we had electronic products in our line for over a decade. this is our first year at cvs because we want to go with the main stage where tech companies were playing. we really see an inflection point of all industry around driving and merging technology into existing products and platforms. there is always a danger for ceos or any leaders to get isolated continue to be told what they want to hear and it is really best to get energy and ideas on the front lines as well as in the market with customers. i spend a lot of my time on the front line in markets and visiting with our team members understanding what we can do better as a company and well,
book. i want this flower and it gets there on the app. the service is actually no different than what i was using before, but the process of getting that service is much easier. and that s the secret to the modern technology. if you think about that example, what a lot of the companies do is use data. the future of the internet is about data and machine learning and think about the idea that the company has all your information and send you offers right before they know it s your birthday or you re going to get flowers for your special loved one. that s the secret. let s dig into the data and machine learning. data everyone knows massachusetts sheen learning is a big scary word for a lot of people. the sigh borgs are going to come take over the world, right? i have a medium-sized company, how should i be thinking about machine learning when it comes to my company? there are two ways to think about machine learning. the first is voice interfaces. over the holiday season, 30 mi