Скачать или смотреть AI Employee Assistant for Retail Operations | Live Q&A, Voice & GenAI | NeenOpal

Retail teams waste hours jumping between dashboards, reports, and systems just to answer basic questions like stock availability, store performance, or sales trends.

This demo shows NeenOpal’s AI-powered Employee Assistant for Retail, built to deliver real-time answers directly from live enterprise data—no manual reporting, no dashboard dependency.

Instead of static BI tools, store managers and operations teams can ask questions naturally using text or voice. The assistant understands intent, connects to retail systems, and responds in seconds with clear numbers, charts, and explainable insights.

What sets this assistant apart is transparency.
It doesn’t just give answers, it shows how each number was calculated and guides users on how they want to explore the data.

What this AI Employee Assistant solves
• Slow access to inventory, sales, and operational data across stores
• Over-dependence on dashboards and manual reports
• Language barriers for frontline and store teams
• Black-box AI answers with no explanation
• Delayed decisions in fast-moving retail environments

What we built
• An AI assistant connected to live retail data systems
• Natural language and voice-based interaction
• Instant insights on stock, store performance, and operations
• Multilingual responses for diverse retail teams
• Visual outputs with numbers, charts, and step-by-step explanations

This solution was built by Akshat Agarwal and Anjali Jha from the NeenOpal team, demonstrating how explainable, trusted GenAI can support real decisions on the retail floor—not just demos or experiments.

If you’re a retail leader, operations head, analytics team, or CIO exploring practical GenAI and agent-led analytics, this walkthrough shows what’s possible when AI is built for real users and real data.

About NeenOpal
NeenOpal is a global data analytics, AI, and cloud consulting partner helping enterprises build scalable, intelligent systems across retail, finance, manufacturing, healthcare, and the public sector.

We specialize in AWS, Azure, Power BI, Tableau, AI/ML engineering, automation, and enterprise analytics, helping teams move from dashboards to decisions.

Learn more
🌐 Website: http://neenopal.com
🟦 LinkedIn:   / neenopal  
🟦 Blogs: https://www.neenopal.com/blog.html
📂 Case Studies: https://www.neenopal.com/case-studies...

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