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Claude AI in Excel for Operations Analytics
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 13m | Size: 3.44 GB[/center]
Operations Management with Claude AI in Excel: Inventory Management, Demand Forecasting, Production & Capacity Planning
What you'll learn
Use Claude in Excel to build auditable operations analytics workbooks with formulas, tables, checks, and decision notes.
Analyze inventory demand patterns, classify products, and create safety stock, reorder point, and replenishment recommendations.
Build baseline demand forecasts, measure forecast error, and translate forecasts into purchasing and capacity planning signals.
Create production and capacity plans, compare planning scenarios, and identify operational tradeoffs and constraints.
Review assumptions, risks, data limitations, and exceptions before trusting AI-generated Excel outputs.
Create reusable Claude Skills and package operations workflows into a practical analytics plugin.
Defend inventory, forecasting, and production planning recommendations in realistic AI-powered roleplays.
Requirements
To use Claude inside Excel, you need access to Claude for Microsoft 365 through a paid Claude plan.
Basic Excel familiarity is helpful, but advanced Excel, programming, or operations analytics experience is not required.
If you do not have a paid Claude plan now, you can still learn from the videos, prompts, case files, PDFs, and examples.
You can save the workflows, prompts, and skills, and apply them later when you have access to Claude in Excel.
Description
This course uses artificial intelligence tools as part of the learning experience. The main workflow is built aroundClaude AI in Excel for operations analytics. AI-assisted tools may also be used to improve audio and video production quality. However, the course structure, teaching cases, exercises, analytical logic, examples, and instructional design were created byCarlos MartÃnez, Ph.D.
AI is already creating value inoperations, supply chain, inventory management, forecasting, and planning. But in operations, speed alone is not enough. A spreadsheet can look clean, a forecast can look sophisticated, and a production plan can look professional while still hiding weak assumptions, supplier risks, capacity problems, or planning errors.
That is why this course is not about flashy prompts or isolated tricks. It is about usingClaude AI in Excel for Operations Analytics with speed, but also withstructure, rigor, and judgment.
In this course, you will learn how to use Claude in Excel to support practical operations workflows. We will work through realistic business cases that simulate real operational decisions, includinginventory analytics, demand forecasting, production planning, capacity decisions, assumptions review, and risk analysis.
You will use Claude in Excel to build demand profiles, classify products, model safety stock and reorder points, create replenishment policies, build baseline forecasts, measure forecast error, translate forecasts into purchasing and capacity signals, create production plans, compare scenarios, and review operational risks before trusting the result.
Across the course, we follow a clear method:understand the situation, build a visible model, translate the analysis into a plan, compare alternatives, and challenge the assumptions before accepting the output. This method is important because Claude can generate polished Excel work very quickly, but polished does not always mean reliable.
The goal is not only to generate Excel files faster. The goal is to help you buildauditable, explainable, and professionally defensible operations analytics workbooks. You will learn how to inspect the logic, improve the model, question assumptions, and move from data to better operational decisions.
You will also learn how to turn selected workflows intoreusable Claude Skills. Near the end of the course, we package those skills into anoperations analytics plugin, so you can see how AI-assisted workflows can become more structured, repeatable, and adaptable to your own work environment.
This course includes downloadable Excel files, prompts, PDFs, reference materials, assignments with suggested solutions, Claude Skills, access to the Q&A forum, andAI-powered roleplays where you practice defending recommendations, assumptions, and conclusions in realistic business conversations.
Those roleplays are important because operations analytics is not only technical. At some point, you need to explain the recommendation, defend the assumptions, respond to questions, and show that your analysis is not only polished, but also thoughtful, reviewed, and operationally sound.
This course is designed for professionals, analysts, managers, students, and Excel users who want to applyAI to real operations work without needing programming or advanced data science experience.
If you want to useClaude and Excel for inventory, forecasting, production planning, and operational decision support, this course will give you a practical method, realistic examples, reusable resources, and a structured way to work with AI more confidently.
Who this course is for
Operations, supply chain, logistics, inventory, or production professionals who want to apply Claude in Excel to real planning problems.
Business analysts and operations analysts who use Excel and want to build more structured AI-assisted workflows.
Managers and team leads who need to review forecasts, inventory policies, production plans, assumptions, and operational risks.
Excel users who want to move beyond manual spreadsheet work and use Claude to support models, documentation, and decisions.
Professionals interested in practical AI for operations without needing programming, Python, or advanced data science experience.
Students and early-career professionals who want hands-on exposure to operations analytics, Excel modeling, and AI-assisted decision support.
![[Image: 2c769e0d2bb59dd227dc5a3be4f31334.jpg]](https://i127.fastpic.org/big/2026/0627/34/2c769e0d2bb59dd227dc5a3be4f31334.jpg)
Claude AI in Excel for Operations Analytics
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 13m | Size: 3.44 GB[/center]
Operations Management with Claude AI in Excel: Inventory Management, Demand Forecasting, Production & Capacity Planning
What you'll learn
Use Claude in Excel to build auditable operations analytics workbooks with formulas, tables, checks, and decision notes.
Analyze inventory demand patterns, classify products, and create safety stock, reorder point, and replenishment recommendations.
Build baseline demand forecasts, measure forecast error, and translate forecasts into purchasing and capacity planning signals.
Create production and capacity plans, compare planning scenarios, and identify operational tradeoffs and constraints.
Review assumptions, risks, data limitations, and exceptions before trusting AI-generated Excel outputs.
Create reusable Claude Skills and package operations workflows into a practical analytics plugin.
Defend inventory, forecasting, and production planning recommendations in realistic AI-powered roleplays.
Requirements
To use Claude inside Excel, you need access to Claude for Microsoft 365 through a paid Claude plan.
Basic Excel familiarity is helpful, but advanced Excel, programming, or operations analytics experience is not required.
If you do not have a paid Claude plan now, you can still learn from the videos, prompts, case files, PDFs, and examples.
You can save the workflows, prompts, and skills, and apply them later when you have access to Claude in Excel.
Description
This course uses artificial intelligence tools as part of the learning experience. The main workflow is built aroundClaude AI in Excel for operations analytics. AI-assisted tools may also be used to improve audio and video production quality. However, the course structure, teaching cases, exercises, analytical logic, examples, and instructional design were created byCarlos MartÃnez, Ph.D.
AI is already creating value inoperations, supply chain, inventory management, forecasting, and planning. But in operations, speed alone is not enough. A spreadsheet can look clean, a forecast can look sophisticated, and a production plan can look professional while still hiding weak assumptions, supplier risks, capacity problems, or planning errors.
That is why this course is not about flashy prompts or isolated tricks. It is about usingClaude AI in Excel for Operations Analytics with speed, but also withstructure, rigor, and judgment.
In this course, you will learn how to use Claude in Excel to support practical operations workflows. We will work through realistic business cases that simulate real operational decisions, includinginventory analytics, demand forecasting, production planning, capacity decisions, assumptions review, and risk analysis.
You will use Claude in Excel to build demand profiles, classify products, model safety stock and reorder points, create replenishment policies, build baseline forecasts, measure forecast error, translate forecasts into purchasing and capacity signals, create production plans, compare scenarios, and review operational risks before trusting the result.
Across the course, we follow a clear method:understand the situation, build a visible model, translate the analysis into a plan, compare alternatives, and challenge the assumptions before accepting the output. This method is important because Claude can generate polished Excel work very quickly, but polished does not always mean reliable.
The goal is not only to generate Excel files faster. The goal is to help you buildauditable, explainable, and professionally defensible operations analytics workbooks. You will learn how to inspect the logic, improve the model, question assumptions, and move from data to better operational decisions.
You will also learn how to turn selected workflows intoreusable Claude Skills. Near the end of the course, we package those skills into anoperations analytics plugin, so you can see how AI-assisted workflows can become more structured, repeatable, and adaptable to your own work environment.
This course includes downloadable Excel files, prompts, PDFs, reference materials, assignments with suggested solutions, Claude Skills, access to the Q&A forum, andAI-powered roleplays where you practice defending recommendations, assumptions, and conclusions in realistic business conversations.
Those roleplays are important because operations analytics is not only technical. At some point, you need to explain the recommendation, defend the assumptions, respond to questions, and show that your analysis is not only polished, but also thoughtful, reviewed, and operationally sound.
This course is designed for professionals, analysts, managers, students, and Excel users who want to applyAI to real operations work without needing programming or advanced data science experience.
If you want to useClaude and Excel for inventory, forecasting, production planning, and operational decision support, this course will give you a practical method, realistic examples, reusable resources, and a structured way to work with AI more confidently.
Who this course is for
Operations, supply chain, logistics, inventory, or production professionals who want to apply Claude in Excel to real planning problems.
Business analysts and operations analysts who use Excel and want to build more structured AI-assisted workflows.
Managers and team leads who need to review forecasts, inventory policies, production plans, assumptions, and operational risks.
Excel users who want to move beyond manual spreadsheet work and use Claude to support models, documentation, and decisions.
Professionals interested in practical AI for operations without needing programming, Python, or advanced data science experience.
Students and early-career professionals who want hands-on exposure to operations analytics, Excel modeling, and AI-assisted decision support.
Code:
https://www.udemy.com/course/claude-ai-in-excel-for-operations-analyticsCode:
https://rapidgator.net/file/afd5a20416c9a7f7106d28c59e735756/Claude_AI_in_Excel_for_Operations_Analytics.part4.rar.html
https://rapidgator.net/file/122afe46945badadd793cca41857d032/Claude_AI_in_Excel_for_Operations_Analytics.part3.rar.html
https://rapidgator.net/file/49e23a29c2d896a4599793fcfd74da01/Claude_AI_in_Excel_for_Operations_Analytics.part2.rar.html
https://rapidgator.net/file/adebc71e61fa4da61d10329b9a50d310/Claude_AI_in_Excel_for_Operations_Analytics.part1.rar.html
https://nitroflare.com/view/6032CB287851DFD/Claude_AI_in_Excel_for_Operations_Analytics.part4.rar
https://nitroflare.com/view/CF49EC257232449/Claude_AI_in_Excel_for_Operations_Analytics.part3.rar
https://nitroflare.com/view/39FFD000902F25D/Claude_AI_in_Excel_for_Operations_Analytics.part2.rar
https://nitroflare.com/view/1ACEAA7D1134245/Claude_AI_in_Excel_for_Operations_Analytics.part1.rar

