Sidhik Rosmon (5 results)
The Machine-Readable Brand: The Future of Fashion in the Age of AI Agents
Kumar, Nitin; Sidhik, Rosmon; Gaubert, James; Tattersall, Clare; Pham, Lian; Lokam, Akanksha
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 19.03
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 17.88
£ 4.16 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 26.41
£ 53.68 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. Neuware - A machine now stands between your brand and your customer.AI assistants read, rank, and recommend products before a shopper ever sees them. They cannot be charmed, bought, or briefed like the buyers and gatekeepers before them. They can only be fed. What they read about your products decide…s what they recommend, and most brands have no idea what that is.The Machine-Readable Brand is the operator's field guide to fashion in the age of AI agents. It moves past the hype and shows you the systems, metrics, and decisions that put a brand on the agent's shelf and keep it there.Inside, you will learn how to: - Run agentic operations across the studio and supply chain: design, tech packs, fit, imagery, and returns handled by AI agents with humans on the gates that matter.- Measure machine visibility the right way. Most tools transcribe what the AI says after it answers. This book teaches you to measure what the AI reads before it answers, using the Placement Map, the Meaning Map, and a single read-side instrument panel your team can run on a spreadsheet.- Fix a wrong answer when an assistant misstates your product, with a step-by-step correction playbook and a metric that times how fast you recover.- Prove demand before you commit capital, so you make on evidence instead of guesswork.- Build one product record that the factory, the regulator, and the shopping agent can all read, and get ahead of the EU digital product passport before it is mandatory.- Price for a channel that takes a cut, defend margin when agents flatten brands to price and attributes, and keep the customer the agent introduced.Every chapter gives you a framework, a real example, a number, and something to do on Monday. The book closes with a full toolkit: a framework field guide, a glossary, ready-to-use worksheets, and a build sequence that funds itself as it goes.This is written for founders, brand and merchandising leaders, heads of production and digital, and anyone who owns the decisions when the customer becomes code.The brands feeding the machine are already taking shelf slots their competitors do not know exist. This book shows you how to join them.From Nitin Kumar, Rosmon Sidhik, and Akanksha Lokam, the team behind The F\* Word, the AI fashion workflow platform.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 19.02
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. A machine now stands between your brand and your customer.AI assistants read, rank, and recommend products before a shopper ever sees them. They cannot be charmed, bought, or briefed like the buyers and gatekeepers before them. They can only be fed. What they read about your products decides… what they recommend, and most brands have no idea what that is.The Machine-Readable Brand is the operator's field guide to fashion in the age of AI agents. It moves past the hype and shows you the systems, metrics, and decisions that put a brand on the agent's shelf and keep it there.Inside, you will learn how to: Run agentic operations across the studio and supply chain: design, tech packs, fit, imagery, and returns handled by AI agents with humans on the gates that matter.Measure machine visibility the right way. Most tools transcribe what the AI says after it answers. This book teaches you to measure what the AI reads before it answers, using the Placement Map, the Meaning Map, and a single read-side instrument panel your team can run on a spreadsheet.Fix a wrong answer when an assistant misstates your product, with a step-by-step correction playbook and a metric that times how fast you recover.Prove demand before you commit capital, so you make on evidence instead of guesswork.Build one product record that the factory, the regulator, and the shopping agent can all read, and get ahead of the EU digital product passport before it is mandatory.Price for a channel that takes a cut, defend margin when agents flatten brands to price and attributes, and keep the customer the agent introduced.Every chapter gives you a framework, a real example, a number, and something to do on Monday. The book closes with a full toolkit: a framework field guide, a glossary, ready-to-use worksheets, and a build sequence that funds itself as it goes.This is written for founders, brand and merchandising leaders, heads of production and digital, and anyone who owns the decisions when the customer becomes code.The brands feeding the machine are already taking shelf slots their competitors do not know exist. This book shows you how to join them.From Nitin Kumar, Rosmon Sidhik, and Akanksha Lokam, the team behind The F* Word, the AI fashion workflow platform. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 20.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. A machine now stands between your brand and your customer.AI assistants read, rank, and recommend products before a shopper ever sees them. They cannot be charmed, bought, or briefed like the buyers and gatekeepers before them. They can only be fed. What they read about your products decides… what they recommend, and most brands have no idea what that is.The Machine-Readable Brand is the operator's field guide to fashion in the age of AI agents. It moves past the hype and shows you the systems, metrics, and decisions that put a brand on the agent's shelf and keep it there.Inside, you will learn how to: Run agentic operations across the studio and supply chain: design, tech packs, fit, imagery, and returns handled by AI agents with humans on the gates that matter.Measure machine visibility the right way. Most tools transcribe what the AI says after it answers. This book teaches you to measure what the AI reads before it answers, using the Placement Map, the Meaning Map, and a single read-side instrument panel your team can run on a spreadsheet.Fix a wrong answer when an assistant misstates your product, with a step-by-step correction playbook and a metric that times how fast you recover.Prove demand before you commit capital, so you make on evidence instead of guesswork.Build one product record that the factory, the regulator, and the shopping agent can all read, and get ahead of the EU digital product passport before it is mandatory.Price for a channel that takes a cut, defend margin when agents flatten brands to price and attributes, and keep the customer the agent introduced.Every chapter gives you a framework, a real example, a number, and something to do on Monday. The book closes with a full toolkit: a framework field guide, a glossary, ready-to-use worksheets, and a build sequence that funds itself as it goes.This is written for founders, brand and merchandising leaders, heads of production and digital, and anyone who owns the decisions when the customer becomes code.The brands feeding the machine are already taking shelf slots their competitors do not know exist. This book shows you how to join them.From Nitin Kumar, Rosmon Sidhik, and Akanksha Lokam, the team behind The F* Word, the AI fashion workflow platform. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
