YoMo

YoMo (a portmanteau of Yogurt Modal) was our first stab at building a build your own sale program at Peapod. If you've ever purchased yogurt at a grocery store, you know the concept: you get to pick your flavors and assuming you meet the minimum for the sale, you get the sale price.

Our thought was: why can't more sales be just like this?

We built a flexible interaction model that allowed for all sorts of product combinations—imaging getting a deal on all the ingredients to make a cheese and charcuterie board—while giving pertinent feedback to shoppers and utilizing existing internal tools to populate the offers.

StrikerBox

Phase two of Peapod's build your own sale program was the ability (and encouragement) to buy in bulk—think shopping at Costco, Sam's Club or Jet.com.

The idea was spawned from the striker game often seen at carnivals to test a patron's strength.

Similar to swinging the mallet down, the more items a customer adds to their cart, the more visual feedback they get and, more importantly, the more money they save.

Yo'Striker

After the first two features went live we started getting data from customers on how they would use the feature, we began working on a third iteration—a combination of the feedback from YoStirker with the offer flexibility of YoMo.

The meld of the concepts was wildly successful and took a program average 5k a week in incremental sales to over 55k through 2018

Fill My Cart

One of the most interesting things about working at the world's first grocery delivery company, is that it is extremely mature.

Chats and ideation sessions often come to a point where some of the old guard remembers trying a "new" idea in the past or that the feature exists, but is underutilized by customers.

Peapod has had a feature to quickly reorder your last order with the press of a button and something like 5% of returning customer orders start with this feature.

Unfortunately the feature is easily missed and only visible on the homepage while a customer has nothing in their cart.

The goal was to get more new early lifecycle customers to their next order faster. With some fresh UI we moved from that roughly 5% utilization to 19%—a 250% lift.

Lunch Money

Lunch Money was an app that analyzed GrubHub order data to prove that corporate orders were being placed on the consumer platform—far outside the Seamless Corporate Sales teams reach in New York.

Leveraging consumer orders, Amazon's Mechanical Turk and LinkedIn, Lunch Money turned from proof of concept to hot lead tool for the Corporate Sales team.

Lunch Money allowed the Corporate Sales team to expand westward and close a 2M deal in its launch week. If you or your office use work.grubhub.com there's a good chance GrubHub found you using Lunch Money.

Cuisine Tag Taxonomy

GrubHub had 136 "cuisine tags" that were manually assigned to new restaurants as they came on to the platform. They spanned specific items to regional and ethnic varieties of food.

GrubHub wanted a way to automate the selection of tags about restaurants and to train a new ML recommendation engine for search that used the cuisines and items dinners ultimately purchase after searching for a specific cuisine.

The link below is to a static version of a dictionary that GrubHub still uses today to manually adjust tags through their Customer Service and Updates teams. A similar tool was used during a project to retag (at the time) all 35k restaurants and train the new engine.

Tracker

Tracker was an app to track the attendance and adherence to various policies for hourly employees. It supported notifications, various levels of permissions and was used in financial reporting for GrubHub's Operations. team..