Ganesh srimi

Techno-Functional Program & Project Manager with 18+ years of experience across Pharma, Medical Device, Retail, Telecom, Banking, and Technology industries. Proven success in business process improvement, IoT systems, AI/ML integration, and cross-functional team leadership. Adept at bridging the gap between business needs and technical execution, combining hands-on development with strategic planning. Currently spearheading a wearable tech initiative, leading end-to-end digital product development—from hardware testing (BLE + LoRa on ESP32-S3) to UX/UI design, AI system architecture, and agile project execution. Expertise in workflow automation using tools like ChatGPT and managing AI-enhanced team collaboration and prototyping. I have actively collaborated with ChatGPT and Python-based automation frameworks, strengthening my expertise in prompt engineering, rapid prototyping, and AI-powered workflow development. This hands-on experience has enhanced my skills in building AI-driven solutions and training cross-functional teams in the latest generative AI technologies.

The Painful Truth About Warehousing Costs. Sample Research Report discussed with @Kevin 511 Tactical based on Manteca Warehouse Observation and Activities. 

The Painful Truth About Warehousing Costs Across virtually all industries and geographic markets, most companies don’t really know what their true warehousing costs should be. Operations leaders are aware of their expenditures and the need to reduce them, but they lack a clear understanding of what their lowest potential costs could be. Globally, warehousing operations cost companies over $400 billion each year, a figure (Source Research Public) that is growing due to the increasing complexity of global supply chains and the rise of e-commerce.

In the United States alone, 1.2 million people work in warehouses, a fast-growing segment of the labor force.

Most companies lack a clear methodology for determining their true warehousing costs. They often rely on tenders for outsourced services through third-party logistics (3PL) providers, which indicate what someone will charge but not the underlying activity costs.

Without understanding the true costs of a specific warehouse, efforts to reduce spending and increase efficiency are likely to fall short. Operations managers have little idea of the potential gains or areas for improvement, akin to running a race without knowing where the finish line is.

Importance of the emerging Cost based like clean excel sheet (E.g. ABC Analysis ) Approach (Many independent research over the past decade, including detailed analyses of more than 1,000 warehouses across various industries and geographies, reveals that many companies' costs are significantly higher than they should be. 

Solutions how Time Series analysis : There are typically two ways companies assess warehouse spending: top-down analysis and bottom-up. Considering in clean sheet calculation, Top-down analysis relies on industry benchmarks, which can be blunt instruments.

Bottom-Up Cost Analysis - A bottom-up approach accurately determines ideal cost structures. - Potential gains of 15-20% can be achieved through this method. Where Benchmarks Fall Short

Top-Down Analysis Limitations - Relies on industry benchmarks, which are often high-level and blunt. - Benchmarks do not account for unique service offerings and product differences.

Bottom-Up Approach Advantage - Clean sheet calculation offers precise cost determination. - Analyzes space, labor, and equipment costs individually. Example clean sheet include Detailed Process and Space Analysis.

Labor Analysis - Clean sheet analysis examines actual warehouse activity levels and processing times. - Converts processing times into costs using country-specific labor rates.

Space and Equipment Analysis - Considers space and equipment costs linked to processing times. - Identifies areas where companies overpay.