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Outfit Oracle is a virtual stylist chatbot created for department retailers like Myer and David Jones. It provides personalized outfit recommendations based on the occasion, style preferences, and budget, making shopping easier and more enjoyable.

It streamlines the shopping process by providing curated outfit choices that fit into the occasion, the client’s aesthetic style and her monetary bounds. It helps clients make well-informed fashionable and confident decisions, which translates in a higher sales output and a lower returns rate. By developing a sophisticated algorithm based on fashion rules that utilizes new technologies and is supported by an innovative app, and by teaching it how to dress people and creating a memorable shopping experience that is both 100 per cent personalized and completely unique, Outfit Oracle helps these department stores remain at the forefront of creativity when it comes to providing shopping services.

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Decision Fatigue and Overwhelming Options

The growth of fashion and online shopping has created a limitless number of possibilities for customers. For instance, a buyer trying to find an outfit can be overwhelming, as there are hundreds of products in different categories, which could cause decision fatigue. In fact, a Harvard Business Review study found that having too many options can actually increase anxiety and decrease pleasure (Schwartz, 2006).

In the modern world of rapid change, people want convenience and personalization (Sathianathan & Ray, 2023). They don't want to spend time sorting through an overwhelming number of possibilities; they want quick, personalized answers that fit their preferences. A chatbot that makes tailored clothing recommendations makes shopping easier by streamlining options according to specific requirements, lessening decision fatigue, and raising customer satisfaction.

Various Consumer Requirements and Equality

The fashion industry has faced criticism because of its lack of diversity and inclusivity. For example, it could be hard and challenging for people to find fashion items that accommodate different types of body types, cultural preferences, or non-binary identities, where this can lead to inclusion and frustration (Gruys, 2021). However, department shops actually provide a wide range of products, it’s just that customers are not aware of them and they frequently require assistance in locating goods that precisely suit their requirements.

Concerns about Sustainability and Conscious Consumerism

Fashion has contributed quite a number of impacts on the environment (Farghaly et al., 2024). In response, nowadays, people are more conscious and are preferred to buy fewer, but better-quality products that are based on their needs and style. Nonetheless, discovering them can be challenging and time-consuming, which is why Outfit Oracle was created.

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The Outfit Oracle Chatbot's objectives are to

Enhance the shopping experience by offering individualized fashion recommendations to make department shops like David Jones and Myer easier to shop at.

Simplify Decision-Making: To cut down on decision fatigue, provide customized outfit recommendations based on the needs, preferences, and financial constraints of individual customers.

Boost Customer Satisfaction: Encourage wiser, more self-assured purchasing by making sure clients feel encouraged to make fashion-forward decisions.

Increase Sales and Decrease Returns: Promote well-thought-out purchases to increase sales and decrease returns.

Enhance Customer Loyalty: Design a fun, easy-to-use, and inventive in-store and online buying experience.

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Busy Professionals: People who don't have time to plan their outfits in advance and require fast, trustworthy fashion advice for work, social gatherings, or everyday living.

Fashion Novices: Consumers who seek professional advice make confident style selections because they are intimidated by the abundance of options available in department stores such as David Jones and Myer.

Tech-savvy shoppers: are those who value digital technologies that provide personalized experiences and work well with both online and in-store purchases.

Sustainability-Aware Consumers: Those who want to ethically add new pieces to their wardrobe while making intelligent fashion selections by making the most of what they already have.

Department Store Shoppers: Dedicated Myer and David Jones patrons seeking a more personalized, interesting, and pleasurable shopping environment.

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Voiceflow: Voiceflow was used to develop the chatbox and conversation pathways. This allows Outfit Oracle to design and implement the conversational flow, which ensures that the chatbox would provide personalized outfit recommendations effectively.

Adobe Photoshop: Adobe Photoshop was used to design the visual elements of Outfit Oracle, specifically the mascot.

ChatGPT: ChatGPT was used to generate insights and content, which can enhance the chatbot's conversational abilities. This helped ensure the chatbox responds intelligently and accurately to users' queries.

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Theme: Classy, Inclusive, and Timeless

Overall Aesthetic:

Sophisticated, elegant, and timeless aesthetic

Color palette: muted tones (deep blues, soft greys, whites, and subtle gold accents to convey a sense of class and universality.

Typography:

Lora for headings and Helvetica Neue for contents, which are sleek, modern, and professional yet approachable.

Mascot:

Name: Oracle

Design: The mascot, which is named Oracle will be an androgynous figure, so that it will allow it to appeal to all users. Modern, minimalist, simple face who has friendly features.

Color Scheme: black and white

Personality: calm, wise, approachable, conveying

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1. Expand Beyond Clothing:

Introduce accessories, shoes, beauty products, and home décor recommendations to make Outfit Oracle a complete style assistant.

2. Integrate with Personal Shopping Services:

Work with in-store personal shoppers to offer tailored recommendations, combining digital convenience with personalized service.

3. Offer Fashion Trends and Insights:

Provide users with the latest fashion trends and upcoming collections, encouraging the exploration of new styles.

4. Improve Personalisation with AI:

Use AI to learn from customer interactions, offering more personalised and accurate recommendations over time.

5. Promote Sustainable Shopping:

Highlight eco-friendly and ethically sourced products that appeal to environmentally conscious customers.

6. Integrate Loyalty Programs:

Connect with loyalty programs to offer personalised rewards, discounts, and special offers, driving customer loyalty.

7. Enable Social Sharing:

Allow users to share their favourite outfits or purchases, creating a community and inspiring others.

8. Introduce Virtual Try-On:

Implement augmented reality (AR) features for virtual try-ons, enhancing the online shopping experience.

9. Expand Access Across Platforms:

Ensure availability on mobile apps, websites, and in-store kiosks for a seamless shopping experience.

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Farghaly, S., Alaswad, M., Fiad, N., Muhammad, R., Muhammad, K., & Hassabo, A. (2024). The impact of fast fashion on sustainability and Eco-friendly environment in fashion design world. Journal of Textiles Coloration and Polymer Science/Egyptian Journal of Textile and Polymer Science and Technology/Journal of Textiles Coloration and Polymer Science , 0(0). https://doi.org/10.21608/jtcps.2024.258355.1256

Gruys, K. (2021). Fit models, not fat models: body inclusiveness in the U.S. fit modeling job market. Fat Studies, 1–14. https://doi.org/10.1080/21604851.2021.1913814

Sathianathan, B., & Ray, S. (2023). How AI can move customer personalisation to customer contextualisation. Journal of AI, Robotics & Workplace Automation, 2(3), 246–252. https://www.ingentaconnect.com/contentone/hsp/airwa/2023/00000002/00000003/art00006

Schwartz, B. (2006, June). More Isn’t Always Better. Harvard Business Review. https://hbr.org/2006/06/more-isnt-always-better#:~:text=What