Increase effectiveness and efficiency by turning disorganized processes into streamlined digital solutions.

Employee working on tablet with happy customer shopping

Technology we’ve created:

A task management platform that moved a worldwide retailer from paper to digital.
A reporting tool that cut the process from 15 minutes to 2.
A machine learning model that solves for a $64MM product inventory loss problem. 

Task Management Platform for a Worldwide Retailer 

The Problem

One of our partners brought us in to rethink the way store managers and retail associates worked together. There was a disconnect between the two groups — especially when it came to ownership of work and progress tracking. Managers were writing daily tasks on a legal pad and handing them to employees to complete. This paper-based system was inefficient and led to lost productivity.

The Solution

We built an intuitive platform that allows managers to delegate work, communicate the assignment of tasks, and track progress in real time for employees. This platform has been rolled out to the full organization, to five countries, with nearly 70% daily active engagement. This task management platform has dramatically improved employee productivity across the board. Resolving a store issue or task often took over a day before the platform, but now takes on average four hours. That means a better quality store experience for customers.

Reducing time to resolve tasks from over a day to

4 hrs on avg.
Mobile phones with retail daily task application
Tablet with a drag-and-drop workflow builder user interface

Improving Efficiency with a Workflow Builder Tool

The Problem

One client came to us to help reinvent their regulation reporting workflows. At the time, a workflow could not be submitted by a facility without using a desktop in a back office. This resulted in security issues and incomplete information due to rushed completion. On top of that, 70% of the reports were miscategoorized, and duplicated information had to be filled out for each submission due to the clunky system. Needless to say, the inefficient system was wasting huge amounts of time.

The Solution

We launched a workflow management platform that’s reduced submission time from 15 minutes to two — all while reaching 100% adoption within the U.S. The drag-and-drop builder allows users to easily manage workflows that are business critical. An intelligent detection pulls demographic information which reduces repetitive information from needing to be filled out for each report, saving 1600 hours per year alone.

Reduced report submission time by


Augmenting Employee Accuracy Through Machine Learning

The Problem

A major food processor came to us to assist with processes that were severely impacting their efficiency and bottom line. The company was losing millions of dollars annually on lost inventory due to mislabeling with inefficient processes in place. The variable here was a human’s ability to accurately identify and label a product at a reasonable pace.

The Solution

Working with the team, we co-created a machine learning model that enables production-plant workers to more efficiently and accurately label products for processing. Through small tests and iterations, we were able to get the model to 90% accuracy. This technology helps employees identify products more accurately which in turn reduces significant product inventory loss.

Product identification increased to

90% Accuracy
Tablet showing chicken package identification interface

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