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The project involves developing an AI-powered sales agent tailored for Point of Sale (POS) applications in retail environments. This intelligent assistant is designed to enhance customer interactions, streamline sales processes, and provide personalized recommendations.
By leveraging machine learning and natural language processing, the sales agent can understand customer queries, suggest relevant products, and assist with transactions in real-time. The solution aims to improve operational efficiency, increase sales conversion rates, and deliver a superior shopping experience for both customers and retail staff.
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Project description
The goal was to streamline retail sales and customer assistance at Verizon stores, leveraging artificial intelligence to optimize sales strategy and efficiency. This project is primarily targetted for business buy-in, after which it will be taken for deployment.
Timeline
From explorations, ideation to final designs in 5 weeks while collaborating with multiple stakeholders at the same time including the engineering team and leadership.
Background
Verizon is U.S.'s leading telecommunications company. Verizon is known for spearheading innovations in the industry and is currently creating solutions by leveraging AI for solutions.
Date:
2024
Team:
4 Designers
3 Engineers
Product Manager
Industry:
AI-Driven System
Process?
This category details the step-by-step approach taken during the project, including research, planning, design, development, and business buy-in process.
Research & Planning
Conducted market research to identify existing scheduling challenges and user preferences. Defined target audience segments and outlined key features based on user needs and market trends.
Design Framework
Collaborated with engineers and the innovation team to create intuitive user interfaces and interactive prototypes. Iteratively refined designs based on stakeholder feedback to enhance usability and visual appeal.
Prototyping
Prioritized feature development based on typical use cases and technical feasibility. Implemented AI designs that allow for dynamic content creations and nudge interactions to enhance user experience for retail employees.
Testing & Optimization
Tested the prototype with retail employees to gather feedback and to identify any pain points that may arise.
Solution
The resulting AI-powered Conversational application helps in guiding sales and experience on POS apps for retail employees
Contextual nudges
Offers follow-up nudges that align with the conversation, helping guide the interaction while reducing the need for manual input on the tab.
Personalization
Personalized messages and leaderboard changes encourage retail reps in their workflow and provides an engaged experience.
Nudges & Sales Guidances
Nudges allow for minimal type interaction and guides the flow of conversation on the tab.
Conversational UI & Customer Insights
Introduced Conversational UI to create an engaging flow which does not require separate onboarding or training.
Dynamic Content
The responses and conversations lead the content on the left, allowing for it to change and update as the conversation progresses
Results & Impact
Here, the projected outcomes and impacts are highlighted. The project is currently in the business buy-in stage and will be taken for development following the budget allocated.
Increase in sales
25% improvement in conversion rates
Customer satisfaction
40% increase in positive feedback
Training efficiency
50% reduction in onboarding time
Reduced Onboarding Time
Streamlined interface and guided flows minimize the need for extensive rep training.
Positive User Feedback
High user satisfaction ratings and positive reviews highlight the app's intuitive interface and powerful AI capabilities.
Smarter Selling with Nudges
Actionable prompts help reps make informed decisions in real time, improving sales outcomes.
Got a project in mind? Tell me about it
Hi, I’m Priyam Joshi, a Designer who turns curiosity into meaningful experiences. I bridge human emotion, technology, and strategy to craft experiences that don’t just look good they work beautifully. As a UX Designer and Researcher, my passion lies in uncovering the “why” behind user behavior and transforming insights into inclusive, data-driven design systems that create real business impact.