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  • Lingua: Inglese

    Editore: TFW, 2026

    9798992302493

    • Brossura

    Da: California Books, Miami, FL, U.S.A.California Books

    Venditore con 4 stelle
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    Condizione: Nuovo

    EUR 22,20

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New.

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2026

    9798992302493

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 20,94

    EUR 5,85 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp Jul 2026, 2026

    9798992302493

    • Brossura

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 46,72

    EUR 30,50 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: 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 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.

  • Lingua: Inglese

    Editore: Tfw, 2026

    9798992302493

    • Brossura
    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 22,19

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 1 disponibili

    Paperback. Condizione: 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.

  • Lingua: Inglese

    Editore: Tfw, 2026

    9798992302493

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 25,21

    EUR 43,15 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibili

    Paperback. Condizione: 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.