Étape 1 / 3 - Un nouveau contexte

AI Is Reshaping the Retail Shopping Journey

A different context: two AI experts debate what retailers should do next.

Webinar recap - Retail TouchPoints
CI&T & Aptos

AI Is Reshaping the Retail Shopping Journey, but Retailers Are Still Catching Up

Melissa Minkow, Global Director of Retail Strategy and Insights at CI&T, said in her research that 90% of U.S. consumers surveyed said they have either used AI agents in their shopping journey or are open to doing so. "That is a level of adoption that is unprecedented when it comes to retail technology," she said.

"Retailers really need to step up the way they are leveraging AI to match the energy that consumers have," Minkow said.

Nikki Baird, VP of Strategy and Product at Aptos, said the instinct to optimize product descriptions for keyword matching misses the point. "Ecommerce websites never got to the point where they addressed solving the consumer problem," Baird said.

Both speakers pointed to data infrastructure as a decisive factor in whether AI deployments will work in practice. Zone pricing, limited-time promotions with deadlines, and loyalty discounts all create inconsistencies that can mislead AI systems. "All of those things will undermine the trust that consumers have, either in you or in the LLM," Baird said.

On the cost of AI, Baird was blunt: "We are absolutely not paying what it costs today. If you have to pay 10 times what you're paying in inference cost today, is this chatbot still profitable for you? You have to ask those questions."

Source : retailtouchpoints.com, June 2026  ·  Level: B2

Comprehension check

1. According to Melissa Minkow's research, what percentage of U.S. consumers have used or are open to using AI agents when shopping?

90% of U.S. consumers surveyed have either used AI agents in their shopping journey or are open to doing so.
Grille d'auto-correction - Question 1
CritèreDescriptionAuto-évaluation
Compréhension du chiffre clé J'ai identifié correctement le chiffre de 90% et la nuance entre "ont déjà utilisé" et "sont ouverts à utiliser"

2. Find a sentence with will in the text and explain what prediction it makes.

"All of those things will undermine the trust that consumers have..." → a confident prediction that pricing inconsistencies will damage customer trust.
Grille d'auto-correction - Question 2
CritèreDescriptionAuto-évaluation
Repérage et analyse de will J'ai cité une phrase avec will et correctement expliqué la prédiction qu'elle exprime
🎯 À retenir - Nouveau contexte : L'IA transforme rapidement le parcours d'achat (90% des consommateurs américains l'ont déjà utilisée ou y sont ouverts), mais les enseignes doivent d'abord fiabiliser leurs données pour ne pas tromper les systèmes d'IA. "Will" sert ici à formuler des prédictions fermes et assumées par les experts interrogés.
Étape 2 / 3 - Mise en situation professionnelle

Loop - Should We Add an AI Shopping Assistant?

Apply your skills to a realistic workplace task.

Context

You work at Loop, a lifestyle and concept store in Paris. Your manager is considering adding an AI chatbot to the website to help customers find products, and wants your honest predictions before deciding.

CD

Claire Dubois

Store Manager, Loop

"Before we invest in an AI shopping assistant, I want your honest opinion. What do you think will happen if we add this? Could it help us, or might it create new problems? Write me a short memo, and then a quick email update for our head office." - Claire Dubois, Store Manager
Your Task

Write a memo (100-120 words) to Claire giving your predictions about adding an AI shopping assistant to the Loop website. Use will, might and could at least once each.

0 / 120 words
Your Task

Write a short email (80-100 words) to head office giving a brief update on the AI assistant project and your predictions for its impact. Use at least one future-prediction modal (will/might/could).

0 / 100 words

Hi Claire, here are my thoughts on the AI shopping assistant. I believe it will help customers find products faster, especially outside opening hours. It could also collect useful data about what people are searching for. However, it might feel impersonal if it replaces our usual friendly advice, so I'd recommend keeping a "talk to a human" option visible at all times. Data quality will be essential - if our online catalog isn't accurate, the assistant could give customers the wrong information. Overall, I think it's worth a trial.

🎯 À retenir - Tâche professionnelle : Pour donner des prédictions professionnelles nuancées, distinguez bien will (certitude), could (possibilité) et might (possibilité plus incertaine) : cette nuance rend votre analyse plus crédible qu'une simple opinion tranchée.
Étape 3 / 3 - Auto-évaluation

Self-assessment Grid

Rate your own production honestly - this mirrors the E4 oral/written evaluation criteria. Cette grille de 5 critères complète les 2 grilles de compréhension déjà remplies à l'étape 1.

CritèreDescriptionAuto-évaluation
RegistreTon professionnel et adapté (mémo / email)
GrammaireWill / might / could utilisés correctement
VocabulaireLexique de l'IA et du commerce mobilisé à bon escient
PertinenceRéponse adaptée à la demande de Claire Dubois
ConsignesLongueur respectée pour chaque production

Mon bilan général du chapitre

Ce bilan agrège automatiquement les 2 grilles de compréhension (étape 1) et les 5 critères de la tâche professionnelle (ci-dessus) - 7 critères au total.

Note chaque critère (étape 1 et ci-dessus) pour voir ton bilan général.

Checklist finale

Chapitre 15 terminé !

Vous maîtrisez maintenant le vocabulaire de l'IA dans le commerce et les prédictions au futur (will / might / could). Félicitations, vous avez terminé la 2e année de LV1 Anglais !

Retour à la page LV1 Anglais