Inspiration

We are doing the Bill.com track

What it does

For company in a data set, it gives a similarity score to every other company and then uses it to recommend new vendors for a particular ISO category.

How we built it

We wrote all our code in jupyter with anaconda

Challenges we ran into

Formatting was very difficult as well as parsing through the large set of data.

Accomplishments that we're proud of

We are proud of getting our data to give us some logical results which sanity checks our process.

What we learned

We learned a lot about transaction data, iso groups and developing models that

What's next for Bill's Recommendation

idk

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