Omnichannel AI Copilot (OAC) - A Personalized Shopping Journey

Omnichannel AI Copilot (OAC) - A Personalized Shopping Journey

In this comprehensive user journey, we'll explore how Sarah, a potential customer, interacts with the Omnichannel AI Copilot (OAC) system across various touchpoints. We'll showcase how the AI-powered chatbot, serving as Sarah's personal shopping assistant, enhances her experience, provides personalized recommendations, and guides her through the shopping process.

User Journey:

  1. Website Interaction and Chatbot Engagement: Sarah visits the website of a fashion retailer powered by the OAC system. As she scrolls through the pages and browses various products, a chatbot icon catches her eye. Intrigued, Sarah clicks on the icon, and a friendly message from the AI Copilot pops up: "Hi there! I noticed you're interested in summer dresses. Can I help you find the perfect one?"

Sarah is pleasantly surprised by the proactive and personalized approach. She replies, "Yes, I'm looking for a floral summer dress for a friend's outdoor wedding." The AI Copilot responds, "Great! Let's find the ideal dress for you. I'll be your personal shopping assistant, helping with recommendations, sizing, and even finding the best deals. Can you tell me more about your preferences?"

  1. Personalized Recommendations and Image Upload: Sarah engages in a conversation with the AI Copilot, sharing details about her preferred style, colors, and budget. The copilot listens attentively and asks relevant questions to better understand Sarah's needs.

Based on Sarah's input, the AI Copilot presents a curated selection of floral summer dresses. Sarah likes a particular dress but wonders if it would match her favorite pair of shoes. The copilot prompts, "Feel free to upload an image of your shoes, and I'll provide recommendations that complement them perfectly!"

Sarah uploads a picture of her shoes, and within seconds, the AI Copilot displays a range of dresses that beautifully match her footwear. Impressed by the personalized suggestions, Sarah adds a few dresses to her wishlist.

  1. In-Store Experience and Staff Assistance: Although tempted to make a purchase, Sarah decides to visit the retailer's physical store to try on the dresses. The AI Copilot offers, "I understand you want to see the dresses in person. Let me help you locate the nearest store and check the availability of your selected items."

Sarah receives the store information and visits the location. As she enters the store, she opens the retailer's mobile app and continues her conversation with the AI Copilot. The copilot greets her, "Welcome to our store, Sarah! Your selected dresses are available here. Let me guide you to their exact location."

Using the app's in-store navigation, Sarah easily finds the dresses. The AI Copilot notifies the store staff about Sarah's arrival and her interest in trying on specific items. A helpful staff member approaches Sarah, assists her with the dresses, and provides additional recommendations based on her preferences.

  1. Post-Visit Engagement and Personalized Offers: Despite the excellent in-store experience, Sarah leaves without making a purchase, still undecided. A few days later, she receives a personalized text message from the AI Copilot: "Hi Sarah, I noticed you loved the floral dresses you tried on. I have great news! They're now available with a special 20% discount, just for you. Click here to claim your offer."

Excited about the exclusive deal, Sarah clicks on the link and is directed to the retailer's website. The AI Copilot welcomes her back, "Welcome back, Sarah! Your personalized discount is applied, and the dresses are ready to be added to your cart. Let me know if you have any questions!"

  1. Seamless Online Purchase and Shipping Support: With the AI Copilot's assistance, Sarah selects her desired dress size and completes the purchase online. The copilot provides a seamless checkout process, with Sarah's information pre-filled for convenience.

After the purchase, the AI Copilot sends a confirmation message, "Congratulations on your purchase, Sarah! Your order will be shipped within 24 hours. I'll keep you updated on the shipping status and expected delivery date. If you have any questions, feel free to ask!"

Throughout the shipping process, Sarah receives timely updates from the AI Copilot, ensuring a worry-free experience.

  1. Post-Purchase Engagement and Customer Support: Upon receiving the dress, Sarah is delighted with her purchase. The AI Copilot reaches out, "Hi Sarah, I hope you're enjoying your new dress! If you have any feedback or need assistance with styling, I'm here to help. Also, I've handpicked a few accessories that would perfectly complement your look."

Sarah appreciates the thoughtful suggestions and shares her positive feedback. A week later, Sarah contacts the AI Copilot regarding a minor issue with the dress. The copilot promptly addresses her concern, provides troubleshooting steps, and offers a hassle-free return or exchange if needed.

Impressed by the exceptional customer support, Sarah becomes a loyal customer, eagerly anticipating future personalized recommendations and engaging with the AI Copilot for her fashion needs.

Michael Falato

Founder/CEO Full Throttle Falato Leads - 25 years of Enterprise Sales Experience - Lead Generation and Recruiting Automation, US Air Force Veteran, Brazilian Jiu Jitsu Black Belt, Muay Thai Student, Tenor Saxophonist

3 个月

Jordan, thanks for sharing!

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Jordan N.

AI/ML Consultant | Sales Leadership SaaS | Social Commerce SME | B2B Growth Expert | Pickleball Lover

5 个月

Biggest barriers to this reality is company technical expertise and fear of data security and loss of jobs.?

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