WHO WE ARE

Article

[wpbread]
WHAT WE DO

Brand Architecture
Brand Strategy
Employer Branding
Mergers & Acquisitions

We’re passionate about tackling the imperatives of modern leaders

Learn how we deliver on these essential, strategic needs that enable companies to sustain a resilient and impactful business.

HOW WE DO IT
CASE STUDIES
INDUSTRIES
Building better healthcare outcomes, together

At Pariveda, we bring thought leadership to all healthcare industry challenges. Leveraging the benefits of advanced, emerging technologies and fresh perspectives….

INSIGHTS
CAREERS

Choose a career that makes a difference

CASE STUDY

Predicting Demand Using Machine Learning

Client: Wag!

A Golden Retriever gets close up and personal with the camera while outdoors walking with his owner in a Los Angeles county park in California on a sunny day
0 K+

Active users

0 +

Employees

At a glance

Challenge

Leveraging Machine Learning to improve the marketing efficiency of an on-demand dog walking and boarding app.

Result

Pariveda assisted the Wag! data scientists in assessing their data and identifying relevant features for Machine Learning experimentation in order to generate improved accuracy and correlation results.

Impact

Wag! now has a Machine Learning model that can reasonably predict whether dog walking demand will increase or decrease within the next seven days.

TECHNOLOGIES USED

Amazon SageMaker

Wag! is an American pet care company that offers a technology platform to connect pet owners with independent pet professionals.

With 400,000 Pet Caregivers offering services available in more than 5,300 cities nationwide, Wag! is used by regular citizens and celebrities alike. When presented with the opportunity to improve their marketing efficiency, Wag! could sit no longer and jumped at the chance.

The Challenge

Improving marketing efficiency for a nationwide pet care platform.

Wag! is an on-demand dog walking and boarding app available in 5,300 U.S. cities across all 50 states. The company recently sought to improve their marketing efficiency by more effectively targeting their marketing campaigns and other activities – specifically by leveraging Machine Learning to forecast nation-level dog walking demand and predict drops in demand, knowledge which, in turn, would inform their marketing efforts. Wag’s data scientists needed the ability to make more accurate predictions more quickly. In an effort to amplify these efforts, Pariveda and AWS partnered with the company to conduct a seven-week Machine Learning Jumpstart project.

The Result

How Pariveda assisted the Wag! data scientists in assessing their data and identifying relevant features for Machine Learning experimentation:

The Impact

The Pariveda team developed a Machine Learning model that can reasonably predict whether dog walking demand will increase or decrease within the next seven days.

Pariveda also identified additional, high-probability data features to incorporate in future Machine Learning experimentation and defined next steps for productizing the current Machine Learning process.

In partnership with Pariveda, Wag! increased their ability to predict demand for their services, enabling them to improve their marketing efforts.

Learn how we deliver on the essential, strategic needs that enable companies to sustain a resilient and impactful business.

Want to talk?

Looking️ for️ a️ team️ to️ help️ you️ solve️ a️ complex️ problem?️

INSIGHTS

The latest industry perspectives, research, news, and resources

Guide

[wpbread]
Navigating organizational change can be complex, but selecting the right model simplifies the process. Our comprehensive guide breaks down popular change management models and helps…
Swipe To View