We have around 200 restaurants using the system right now. This would be great, but the problem is you need huge scale for this to be generally useful. I think once/if we hit around 2000, this will be something to think about building.
I'm not very worried although it's somewhat of a concern. Restaurant-style online ordering matches drug delivery nicely. However, the KYC required for accepting card payments is a pretty good safety net to catch this.
No, definitely not! I couldn't see anything in the logs. So I assume not all required fields were filled out when creating the store. Highlighting those needs some work. Thanks for pointing it out.
Hi HN.
I put this together over the last 2-3 weeks to help the many restaurants and retailers currently unable to trade. Whilst many operators in large cities have systems in place to handle a rapid change in operations, there's the very long tail of stores across the country who are very new to online ordering as a concept. So the focus is on simplicity and getting set up as quickly as possible.
Tech stack: Vue.js & tailwind on the frontend, Hapi server.
I'm actually in the same space selling "hoverboards" and have been massively hit with fraudulent transactions. Luckily we realised fairly quickly and enforced draconian fraud checks, we're missing out on potential sales but the Buzzfeed is article is the alternative.
I'm not sure which processor Candy Japan uses, but you can usually request to implement advanced fraud rules and strict settings that require Zip/postal code to match exactly.
I'm not sure how strict you should go, we have gone to the absolute maximum - and have to deal with customer service issues / abandoned checkouts daily. But even requiring the ZIP code to be correct made a big difference.
We're also using shopify which has helped quite a bit with their built in fraud analysis (Not 100% but I think it's either signifyd or kount providing the data).
Alternatively, you could use Paypal Pro to negate the account requirement?
I'm considering a bit going to some platform like Shopify, because I'm writing way more Python doing my own platform anyway. Integrating some solution would be just a few clicks if I were on some platform that they already support, instead of another API integration.
The company I work at uses Shopify with Sift and it seems to work well. You can have different levels of automation as far as autocharging high-legitimacy transactions, flagging suspicious customers, etc.
This is one the thing that I found curious as well.
I worked at a company who used WebTrends. Some of the their customers installed Google Analytics alongside Webtrends and then would complain that the numbers didn't match up between the two. Sometimes it wasn't close (+/- 10%) other times it was closer, but there was always a discrepancy between the two. Of course it looked since we used WebTrends, we were inflating the numbers, when in reality, it was the exact opposite.
When I read this part of the post, I could totally see them tweaking the GA numbers so they were lower.
The reason for this would be that GA filters out bot traffic differently than other vendors. That includes legitimate bots like search engine crawlers. Web analytics are just not that accurate. The number quoted by the Xoogler in an analytics manual I recently went though is an expectation of ~10%+ wiggle.
GA is always going to show 'lower' numbers than straight logs in particular because of this.
Could only get it to work after a few tries unfortunately. Great to see some more options in the exit-intent space, but definitely needs some refinement; the form fields on the pop up won't accept any inputs.
Interesting note I saw in your Flippa listing; you're outsourcing your blog posts. I'm currently working on a marketplace that aims to ease this process. Would you mind sharing how you when about it? Odesk, freelancer.com?
