How Meal Delivery Apps are Killing Your Favorite Restaurants featuring Chris Webb, CEO of ChowNow

Food delivery apps like UberEats are putting mom and pop restaurants out of business. In final episode of Season 1 of the Innovation For All podcast, Chris Webb, CEO of ChowNow, shows the actual cost of meal delivery and how ChowNow is trying to mitigate those risks through an alternative business model.

You’ll learn:

  • How much food marketplaces charge the host restaurant, on top of the fees they charge the customer
  • How his experience at Lehman Brothers in 2008 shapes his current skepticism
  • Why ordering direct from the retailer should always be the consumer’s first option
  • Does the restaurant know who is buying their food when ordered through a delivery app?
  • Why are restaurants willing to use delivery apps even when they are unprofitable?
  • What does a model that puts the restaurant first look like?

Chris has always had an affinity for small and independently owned restaurants. His love of these small businesses and his own family’s small step into the food retail space revealed a passion at the intersection of food and technology.

ChowNow is the leading online ordering and marketing platform for local restaurants. Founded in 2011, ChowNow currently works with 11,000 restaurants nationwide – making it easy for customers to order directly from their websites, ChowNow-built branded mobile apps and third-party websites including Google, Yelp, and Instagram.

Prior to ChowNow, Chris was a founding investor in healthy, fast-casual chain Tender Greens. Chris’ involvement in Tender Greens fueled his mission to put smaller independent restaurants on a level playing field with the national chains when it came to technology solutions, tools, and apps.

Connect with Chris Webb & ChowNow:

Others Mentioned:

Stay Tuned for Season 2!

Innovation For All will be returning for Season 2 in May 2019. Subscribe on Apple Podcasts or your favorite podcasting platform to listen to great episodes in Season 1 and get alerted as soon as Season 2 begins.

What would ethical data practices look like? Featuring Amanda McGlothlin

“Tech should be built for good” says Amanda McGlothlin, co-founder and Chief Design Officer at HQ Network, a Los Angeles space start-up providing digital security products and services for individuals and businesses. As a leader in tech, Amanda believes that privacy is a fundamental human right. Hear her tactical, realistic approach to product design that truly protects the user’s privacy.


IN THIS EPISODE YOU’LL LEARN:

  • How VPNs secure your information and prevent unwanted information getting to your devices.
  • How ads and third party tracker are not only annoying, but cost us money and make our technology less valuable.
  • The future of an ad-free user experience.
  • The use of ad-blockers and whether they are as effective as we think.
  • The new privacy laws that protect consumers from data breaches.
  • How companies can exercise more responsibility around their data practices to both protect the user and create success for their business.
  • What product managers and coders can do to support these companies who are willing to change their data practices for good.
  • What dark patterns are and how they apply to data and tracking.
  • Why it’s possible to collect data in moderation and still experience the benefits of analytics.
  • HQ Network’s view of data collecting and their ethical approach to their data practices.
  • A recent Facebook scandal and how it relates to user research.
  • How consumers can protect their data and exercise safety while online.
  • Facebook, as an example of a company that uses less than perfect data practices.

LINKS:

OTHERS MENTIONED:

  • VPN
  • GDPR
  • Facebook
  • iTunes
  • Apple
  • Sally Hubbard
  • Google Analytics
  • Cookies
  • Javascript
  • Stripe
  • App Store
  • Google
  • Enterprise Certificate
  • Instagram
  • WhatsApp
  • Troy Hunt
  • Katharine Hargreaves
  • ARKO
  • Stuart Turner

If you enjoy this episode, you might enjoy my conversation with Sally Hubbard: Google and Facebook are Monopolies: Does it matter?

What did you change your mind about in 2018? Answers on AI, data, work, and more.

In this special episode, our favorite experts on AI, tech monopolies, and more return to answer two key questions: What is something you’ve changed your mind about in 2018? And what is something you’d like to see become a larger part of the conversation in 2019?

You don’t want to miss this one. Want to hear more from these great guests? Check out their full episodes:

Who can regulate technical systems if no one understands them? feat. David Robinson

Can AI really change the world? Or are its developing algorithms formalizing social injustice? When these highly-technical systems derive patterns from existing datasets, their models can perpetuate past mistakes.

In this episode of the Innovation For All Podcast, Sheana Ahlqvist discusses with David Robinson the threats of social bias and discrimination becoming embedded in Artificial Intelligence.

IN THIS EPISODE YOU’LL LEARN:

  • What is the role of technological advances in shaping society?
  • What is the difference between Machine Learning vs. Artificial Intelligence?
  • Social Justice Implications of Technology
  • What are the limitations of finding patterns in previous data?
  • How does should government regulate new, highly technical systems?
  • The need for more resources and more thoughtfulness in regulating data
  • Examples of data-driven issues in the private sector.
  • Removing skepticism of regulatory agencies in examining data models.
  • Authorities should remember that there are limits to what AI models can do.

David is the co-founder of Upturn and currently a Visiting Scientist at the AI Policy and Practice Initiative in Cornell’s College of Computing and Information Science. David touches on how government regulatory agencies should examine new AI models and systems, especially as the technology continues to creep its way into our day-to-day lives. David discusses the importance of “ground truthing.” David emphasizes looking at a technology’s capabilities and limits before deciding on whether decision makers should implement it.

LINKS

OTHERS MENTIONED

CONNECT WITH DAVID

If you enjoy this episode on AI and ethics, you might also enjoy WHEN ARE “FAIR” ALGORITHMS BETTER THAN ACCURATE ONES?