AI-POWERED SALES AGENT
AI powered Sales Agent for POS Application in Retail stores
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.
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 & Prototyping
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.
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.
Customer Insights and sales strategies
Generates insights on the customer, account, billing, and sales strategies- providing one of the most effective ways to guide sales on the POS tab during customer interactions. It reduces the time spent analyzing individual pages and data by offering a high-level summary and clear next steps.
Personalization
Personalized messages and leaderboard changes encourage retail reps in their workflow and provides an engaged experience.
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.
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.