CASE STUDY

Opeeka

an image of a laptop and statoscope
Opeeka faced lost revenue and inefficiencies due to slow data access for deal closures and customer acquisition. By deploying Max—trained on the company’s expert “brain trust”—Opeeka automated proposal writing, enabling faster and more accurate responses, significantly increasing efficiency and revenue.

AT A GLANCE

Challenges

  • Revenue loss due to lengthy research for proposal data
  • Limited and slow information access for customer acquisition
  • Excessive staff time spent on repetitive proposal generation

Key Results

  • $180,000 in additional revenue within days of adoption
  • 22.5% overall revenue growth
  • 2 days/month, less staff time needed
  • 90% of proposals written by Max, reducing manual workload

OBJECTIVES

  • Gain rapid access to internal knowledge for deal closure
  • Minimize time and costs associated with manual proposal writing
  • Increase operational efficiency and sales performance

SOLUTIONS

  • Trained Max on Opeeka’s proprietary knowledge base and historic proposals
  • Automated proposal generation and response leveraging existing expertise
  • Enabled instant access to critical deal-closing data for staff

BENEFITS

  • Drastically reduced time to generate proposals
  • Increased proposal accuracy and win rate
  • Freed up staff for higher-value activities

RETURN ON INVESTMENT

  • Over $180,000 new revenue in the first days
  • 22.5% overall revenue increase
  • Equivalent to 20 hours saved monthly per staff member
  • 2 days/month less staff time spent on proposals

More Case Studies

Generative AI Automotive Regulatory Requirements

Korean Automotive OEM

A leading Korean automotive OEM sought to verify the accuracy of electric vehicle (EV) rebate data from their existing supplier and evaluate Humaxa’s AI capabilities. Humaxa deployed an EV Rebate...

Read More

Major German Auto Supplier

A major German automotive Tier 1 supplier’s development team faced weeks or months spent manually parsing requirements, regulations, and translating documents. By implementing Humaxa’s “Spec to Spreadsheet” product, the company...

Read More
Predictive Analytics in Automotive Warranty Analysis

Vector Technical Support

Vector automotive field support team struggled with slow technical question resolution, often requiring over 40 minutes per inquiry. Humaxa implemented “Max,” an AI productivity bot, allowing project managers to instantly...

Read More

KIA Chat interface

KIA’s regulatory product planning team spent significant time manually analyzing changing automotive regulations. Humaxa implemented “Max,” an NLP chatbot with reference-citing capabilities, enabling rapid identification and analysis of regulatory changes,...

Read More
Budget Planning for AI

AMP Creative

AMP Creative faced labor-intensive onboarding processes due to rapid hiring. To address the inefficiency, they implemented “Max” by Humaxa—an AI chatbot automating onboarding tasks, training, scheduling, and tracking. This conversational...

Read More
an image of a laptop and statoscope

Opeeka

Opeeka faced lost revenue and inefficiencies due to slow data access for deal closures and customer acquisition. By deploying Max—trained on the company’s expert “brain trust”—Opeeka automated proposal writing, enabling...

Read More
Image of a statoscope

Pacific Clinics

Pacific Clinics, a leading California mental healthcare provider, needed to efficiently analyze extensive data and deliver tailored recommendations and reports. To address these needs, Humaxa initiated an automation project to...

Read More
Generative AI Automotive Industry

Vector AUTOSAR

Vector, a global provider of development tools and software solutions, faced challenges in simplifying its complex tool ecosystem for users. To address this, Humaxa collaborated with Vector to integrate its...

Read More
AI in Automotive Industry

Major Japanese Car Maker

A Major Japanese Car Maker aimed to enhance technical support by delivering fast, reliable troubleshooting information via a chat interface. The project provided both text and video instructions for sales...

Read More
photo of a phone with financial data

Baxter Credit Union

Baxter Credit Union aimed to broaden employee access to mentoring and streamline the user experience by consolidating multiple tools. “Max” enabled seamless mentoring directly within MS Teams for all staff,...

Read More