UX Research
Product Design
AI Products
Arteli Select
An AI-powered retail media platform for smarter in-store execution.
Industry
Retail
Year
2025
Timeline
1 year

The research question: What would it take to get sales, trade marketing, and category management making decisions from the same live picture, instead of scattered dashboards and spreadsheets? Context: Arteli Select serves CPG brands and retailers. The teams running in-store execution were juggling BI dashboards, spreadsheets, and email. Decisions were slow, opportunities got missed, and execution was inconsistent across stores. They needed one workspace unifying data, insights, and action across sales, trade marketing, and category management.
My role: Lead UX Designer and UX Researcher. Ran stakeholder interviews and workflow mapping, competitive and heuristic analysis, iterative prototyping and testing, journey mapping, and usability research. Process: interviewed sales, trade marketing, and category teams and mapped real store workflows; analyzed planogram, promotion, and inventory apps for gaps; built clickable prototypes of store selection, recommendations, and business monitoring; tested with 12 participants across the three teams and iterated on grouping, labeling, and filters; designed mobile-first. Guiding principles: 'It's science but it feels like magic.' 'Right not rushed.' 'Serious about business.' Key insight: the problem wasn't a lack of data. Data, insight, and action lived in three different places, so decisions were slow and execution was inconsistent. The design job was unification, not another dashboard.
Outcomes at a glance: one workspace replacing scattered dashboards, spreadsheets, and email threads; 200+ stores live; tested with 12 users across three teams. What shipped: store selection (grouped, searchable, filterable picker rebuilt with grouped accordions and search); recommendations (tabbed interface with AI suggestions scored on margin, sales, and store fit, plus card detail side sheet and action-set summary); business monitoring (rules management, alerts feed, threshold configuration, impact timeline). What users said: 'I love the new layouts and easy access to the data I need.' 'The new designs are a big improvement.' Learnings: designing data-dense dashboards is a constant negotiation between clarity and density; designing with real data surfaced edge cases lorem ipsum never would; regular stakeholder reviews kept feedback grounded in actual workflows.






