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  • Langue : anglais

    Edité par TFW Publishing, 2019

    1733319409 / 9781733319409

    • Couverture souple

    Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 8,82

    EUR 11,64 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : 1 disponible(s)

    Paperback. Etat : Brand New. 66 pages. 9.00x6.00x0.15 inches. In Stock.

  • Langue : anglais

    Edité par TFW, 2026

    9798992302493

    • Couverture souple

    Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books

    Vendeur avec une évaluation de 4 étoiles
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    Etat: Neuf

    EUR 22,18

     Frais de port gratuits 
    Expédition nationale : Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Etat : New.

  • Langue : anglais

    Edité par Tfw, 2026

    9798992302493

    • Couverture souple
    • impression à la demande

    Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 22,17

     Frais de port gratuits 
    Expédition nationale : Etats-Unis

    Quantité disponible : 1 disponible(s)

    Paperback. Etat : 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.

  • Edité par TFW Printers, London, 2003

    • Couverture souple
    • Signé

    Vendeur : Edmonton Book Store, Edmonton, AB, CanadaEdmonton Book Store

    Vendeur avec une évaluation de 4 étoiles
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    Membre d’une association professionnelle : ABACILAB

    Etat: Occasion - Assez bon

    EUR 31,05

    EUR 49,09 expédition 
    Expédition depuis Canada vers Etats-Unis

    Quantité disponible : 1 disponible(s)

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    Etat : Very good. No Dustjacket. 8vo pp.208.paperback edition , Signed by the author on title page. Signed by Author. book.

  • Langue : anglais

    Edité par Tfw, 2026

    9798992302493

    • Couverture souple
    • impression à la demande

    Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail

    Vendeur avec une évaluation de 5 étoiles
    Contacter le vendeur

    Etat: Neuf

    EUR 25,16

    EUR 43,05 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : 1 disponible(s)

    Paperback. Etat : 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.