Real client success stories

Prestigious college football program sought to maximize game revenue and attendance through optimal ticket pricing KaizenPrice delivered 7.5% measured revenue

A sports broadcasting network wanted to leverage prescriptive analytics to drive both revenue and subscribers in their high-growth digital

Theme park operator desired a custom system which generated optimal pricing of every menu item Kaizen delivered a Price

Retail operations unit of a global Automotive OEM wanted to set dealer-specific monthly sales targets using an analytically-driven approach

Global freight forwarder wanted to maximize profit through the power of pricing Kaizen delivered an automated, integrated Price Optimization

Senior living operator wanted to optimize their Marketing spend and increase move-ins Kaizen delivered a Marketing Spend Optimization solution

A premier resort needed to drive operating margin and increase visibility to customer demand Kaizen delivered a custom analytics

A leading golf booking service sought to leverage revenue management and pricing analytics to maximize tee time revenue and

One of the US’ largest theme park operators wanted to optimize their park operations – specifically, workforce labor by

Subscription media streaming service provider wanted to identify true causes of churn and determine targeted marketing actions that will

Premier theme park operator desired a custom Revenue Management System (RMS) to hit growth target through optimal pricing of

Automotive dealership group wanted to leverage Customer Lifetime Value (CLV) in their customer sales process Kaizen delivered an analytics

Cable operator needed to identify controllable customer churn anomalies on a timely basis (last week, not last quarter) and

Read More →

Cable operator needed to identify targeted audiences and create personalized promotions and offers to drive market growth Kaizen provided

Read More →

Automotive Finance Provider needed to understand the impact of their sales visits across a diverse range of client data

Client needed to pivot its on-prem software to SaaS and aggregate and analyze logs from many end customers.

Client needed its search, logging, and monitoring tools to meet regulatory compliance, and support to migrate from Elasticsearch to

Leading Vehicle Transportation Services provider wanted a method to measure customer willingness to pay. Kaizen delivered a solution that

One of the nation’s highest-volume Wholesale Vehicle Auctions wanted to have a basic understanding of market response to their

An Automobile, Transportation and Ecommerce company was challenged with understanding customer price sensitivity at more granular levels and driving

One of the largest B2B Food Distributors found that “Cost Plus” pricing was resulting in missed revenue and margin

A grocery retailer desired to improve their ability to assess the value of incentive contracts under different promotional strategies

A US Top 5 Convenience Store Operator experienced erratic staffing – especially during the global pandemic – which was

The world’s largest Chemical Manufacturer wanted to optimize its combined heat and power system plants. Kaizen designed, developed, and

Multi-national Chemical Manufacturer desired to optimize plant utilization across their manufacturing units, which operated in parallel but were each

One of the US’ largest Multimodal Transportation Services and Logistics Providers needed to gain better visibility across both Marketing

A Transportation & Logistics provider struggled with its manual routing system and a driver supply shortage. Kaizen developed and

Leading global Financial Services company sought to transform their data science platforms to the cloud and desired price and

Client faced difficulties migrating in-house applications and processes to new on or off-prem infrastructure. Kaizen’s solution created consistency between

Online Event Ticketing Service’s sought genre-specific price elasticities to improve their pricing decisions, with the ultimate goal of maximizing

Premier Theme Park Operator wanted to proactively manage ride downtimes by predicting and anticipating equipment failure. Kaizen built and

Premier Theme Park Operator wanted to avoid the high replacement and upgrade costs of their on-premise data infrastructure (Cloudera).

Leading Cable Network needed to more optimally allocate advertising inventories and eliminate manual processes for compiling and modeling data.

A leading national Self-Storage company desired a custom approach to Revenue Management capabilities in order to hit growth targets

National Hospitality Brand had key legal stats stored in multiple databases being managed by different teams. Compiling and organizing

Read More →

Business Scenario & Challenge According to a study conducted by Expedia and the Center for Generational Kinetics, 74 percent

Read More →

Automotive client sought to improve strategic planning and optimize their sales mix in order to achieve a more actionable

Automotive client needed to consolidate data across different systems, scenario plan, and confidently establish incentive support by vehicle/region. Developed

National Home Healthcare Provider needed to improve lead conversion by identifying their highest quality leads, targeting their best markets

Manufacturing company needed to more accurately estimate critical KPI measures, but their new ERP system implementation was disrupting the

Leading Self Storage provider struggled with limited insight into their staffing and labor models and a “one-size-fits-all” staffing approach.

Energy information services provider needed to develop a more flexible approach to understanding demand patterns, integrating new production into

Client faced rising procurement fraud cases, especially in high-risk regions, and needed better data and analytics to detect and

Non-profit organization sought to create centralized data and analytics platform that allowed police departments to evaluate themselves against local

Law firm had data in disparate sources, and generating critical reports was manual and time consuming. Kaizen built a

Automotive manufacturer was experiencing high labor costs, and its HR and Finance teams had no visibility into the labor,

Telecom equipment manufacturing company had multiple ERP systems from different companies running operations in parallel, and inconsistent data was

Client’s critical legal data was located in disparate locations and managed by different teams, making analysis time consuming and

Law firm found that reporting key metrics was labor intensive, error prone, dependent on Excel, and missing certain functionality.

Law firm sought to upgrade their data analytics platform to report on more insights. Kaizen enhanced reporting capabilities to

Social media platform sought to define the factors driving the retention of its creators within a highly complex data

Cruise Line needed to ensure that marketing spend was being invested in the right areas, that campaigns were as