Mathematical Optimization Consulting Service

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Mathematical Optimization Consulting Service

Inspired by a conversation on:

Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

931: Boost Your Profits with Mathematical Optimization, feat. Jerry Yurchisin

Host: Jon Krohn

Timestamp: 00:00:30 - 00:01:50

Listen to Episode • View Podcast • All Ideas from Super Data Science: ML & AI Podcast with Jon Krohn

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Feather Flow

Direct Quote

"Mathematical optimization provides a framework for you to take your business problem, sort of distill it down into three sort of main components."

Market Gap

Businesses struggle with complex decision-making in optimizing operations.

Complex decision-making is a significant challenge for businesses aiming to optimize their operations. Traditional methods often fall short in providing actionable insights due to the vast number of variables involved. For example, companies in supply chain management must consider numerous factors, including costs, constraints, and potential scenarios to find the best decision paths. However, existing solutions may not effectively address the unique requirements of each business, resulting in suboptimal outcomes. By utilizing mathematical optimization, companies can systematically analyze their decisions, leading to improved efficiency and profitability. The lack of awareness and expertise in implementing mathematical optimization further complicates this issue.

Summary

A consulting service focused on mathematical optimization could help businesses streamline their decision-making processes. This service would guide companies in formulating their business problems into mathematical models, identifying decision variables, constraints, and objectives. By leveraging existing optimization algorithms, the consulting firm could offer tailored solutions that meet specific business needs. For instance, retailers could optimize inventory management by accurately predicting product demand based on historical data and market trends. The service could also include training workshops to empower internal teams with the skills necessary to implement optimization strategies effectively. Overall, this consulting service would bridge the gap between complex decision-making and practical, data-driven solutions.

Categorization

Business Model
Service
Target Founder
Subject Matter Expert
Difficulty
Medium
Time to Revenue
3-6 months
Initial Investment
$1,000-$10,000

Potential MRR (18-24 months)

Conservative
$5,000 - $10,000 MRR
Moderate (Most Likely)
$15,000 - $30,000 MRR
Optimistic
$40,000 - $60,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
8/10
Novelty
7/10
Feasibility
8/10
Market Potential
8/10
Evidence
7/10
Overall
7.6/10
Found on October 14, 2025 • Analyzed on October 14, 2025 2:01 PM

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How should I validate this service idea before building it?

2:34 PM

Great question! For a service idea like this, I'd recommend starting with these validation steps:

  1. Customer interviews: Talk to Subject Matter Expert to understand their pain points
  2. MVP approach: Build a simple landing page to test demand
  3. Competitor analysis: Research existing solutions and identify gaps

Would you like me to help you create a specific validation plan for your medium difficulty idea?

2:35 PM

Yes, and what about the technical implementation? Should I build this myself or hire a team?

2:36 PM

Based on your idea's complexity and 3-6 months, here's my recommendation:

Technical Strategy:

  • Start with no-code tools for rapid prototyping
  • Consider your technical background and available $1,000-$10,000
  • Plan for scalability from day one

I can help you create a detailed technical roadmap and resource allocation plan...

2:37 PM

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