[ SeeStone ]
[Info]
B2B Optimised Seasonal Buying Product
Sector: Fashion/Retail/AI
Client: SeeStone
Project Timeline: 7 Months - Ongoing
Platforms: Slack, Figma, Figjam, Framer, Atlassian,
2024-2025
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SeeStone is a buying tool for buyers in the fashion space with the intention to eliminate guesswork, reduce unsold stock, and cut markdowns - using AI. SeeStone saves days of work and boosts the users bottom line.
SeeStone alllows buyers to focus on what they love - curating collections and shaping strategy - not breaking down size curves.
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This was an extensive end-to-end project where the scope consisted of branding through to conducting user reasearch and UI.​​
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My Role:
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Branding, UX/UI Designer.​​
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End to end branding and development
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Stake holder engagement
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Research
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User interviews and meetings
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Conduct and impliment user research
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Competitor analysis
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Affinity mapping
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Synthesising and analysing data
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User Personas
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Ideation
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Information Architecture
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UI
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Dashboard design
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Collaboration and handover with developers
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Low-fi / hi-fi prototypes​
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Website design
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Pitch deck design
Key Goals:
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Understand the user, their key needs and pain points
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Interviews and focus groups
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Seamlessly marry the brand identity with the product
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Design a product that users in the fashion industry relate to visually while keeping the key goals of the product relevant and clear
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User testing with Hi-fi prototypes
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Affinity map, sort and analyse data to pin point pain points, needs, and potential opportunities
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Extract user behaviors from data
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Create user personas
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Integrate a digital moodboard and seasonal drop calendar that will eventually be accessable to marketing and design so that it becomes a full-use ecosystem for all necesarry parties.
The Solution:
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A optimised fasion buying product that streamlines the buying process. Removing excel spreadsheets and quantifying numbers that all they need to then do is confirm - giving buyers time to do what they love.​
Hi-Fi Prototype
*To respect IP the pages below are blurred and are not the final prototype, they are part of the final development stage while data was being integrated into the designs.
