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NK

Nikhil Kamath Cast

10/07/23

@ Nikhil Kamath

Using machine learning for demand forecasting can significantly improve inventory management and reduce wastage in fashion.

Video

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Ep #11 | WTF Goes into Building a Fashion, Beauty, or Home Brand? Nikhil w/ Kishore, Raj, and Ananth

@ Nikhil Kamath

10/07/23

Related Takeaways

NK

Nikhil Kamath Cast

10/07/23

@ Nikhil Kamath

Pricing strategies in fashion should be data-driven, utilizing algorithms to determine optimal pricing based on inventory levels.

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Amit Bendov

05/20/25

@ Sequoia Capital

Sales processes can be significantly improved with AI, eliminating the need for manual forecasting and clerical work.

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Nikhil Kamath Cast

10/07/23

@ Nikhil Kamath

Designing for fast turnaround is crucial in fashion, allowing for quicker product updates and inventory management.

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Ken Griffin

05/01/25

@ Stanford Graduate School of Business

Investing requires understanding how the future will unfold, and machine learning models are not designed for long-term predictions, often failing beyond short-term trading.

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Eric Migicovsky

10/13/18

@ Y Combinator

To manage inventory effectively, consider pre-orders to gauge demand and reduce upfront costs, or shorten lead times to minimize cash flow issues.

PB

Phillip Buckendorf

04/28/25

@ a16z

The future of logistics will involve predictive software that anticipates challenges and allows for quick rerouting to maintain operational effectiveness.

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Alfred Lin

07/31/14

@ Y Combinator

If you're off in inventory management, it can lead to significant issues, whether it's overstocking or missing sales opportunities.

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Nikhil Kamath Cast

10/07/23

@ Nikhil Kamath

When starting a fashion brand, it's better to begin with 60 to 70 options across sizes, rather than a larger inventory, to manage effectively.

KG

Ken Griffin

05/01/25

@ Stanford Graduate School of Business

Machine learning models excel at static problems, like analyzing radiological reports, but they falter when predicting future events, which is crucial for investing.