Nimble x Databricks Presents: An Agentic AI System for CPG & E-Commerce

Everyone is talking about AI agents, but few have built one that functions. 

Most AI tools are simply a glorified chatbot: They can’t act autonomously, and can only provide simple responses based on outdated data. They have no way of accessing live market changes or processing complex requests—factors that are crucial in fast-moving markets like retail.

But what if there were an AI agent that could think, reason, plan, and act like your best e-commerce analyst? One that could continuously process millions of real-time data points covering pricing, promotions, SERPs, consumer sentiment, and more to identify problems, analyze complex market dynamics, and recommend strategic actions…without being prompted? An AI agent that could totally revolutionize the way CPG brands approach data-driven decision-making? 

We’ve partnered with Databricks to build such a system. 

Meet the Nimble E-commerce AI Agent: an advanced agentic system that autonomously perceives market data, reasons through complex scenarios, takes intelligent actions, and learns from results. With this tool, brands can go beyond call-and-response LLMs and truly access the full potential of AI powered by real-time web knowledge.

Keep reading to learn how this tool was built and how you can use it to enhance data-driven decision-making across your entire organization.

Nimble's Web Data Platform: The Foundation for Agentic AI

Why Agentic AI Needs Real-Time Web Data

Agentic AI systems are only as intelligent as the data that fuels them. The most advanced AI technology in the world won’t help your business if it’s generating insights from stale, irrelevant, or inaccurate data: it’ll just automate bad decision-making. 

In the dynamic world of e-commerce, where millions of products compete on Amazon alone (not to mention the billions across other marketplaces), prices fluctuate hourly, and customer reviews are constantly updated, static data that comes in on a monthly, weekly, or even daily basis simply isn’t enough. Using yesterday’s data today is a recipe for lost opportunities and declining market share.

To truly beat the competition and get quality insights, agentic systems for e-commerce must be fueled by real-time data that’s updated on a second-by-second basis. 

How Nimble’s Data Platform Offers a Solution

Nimble’s web data platform uses architecture that is specifically designed for AI consumption, delivering clean, normalized data through online data pipelines that feed directly into Databricks environments. 

Using a stack of AI-driven technology to collect and process data, Nimble provides data that’s: 

• Scaleable: Nimble can process millions of Amazon product pages on a daily basis. 
• High-Quality: AI-optimized data collection and normalization ensure 99.9% data accuracy, even in the face of hard-to-scrape dynamic content and shifting page layouts.
• Structured: Nimble provides the real-time, structured data that agentic AI needs to perceive and understand the market landscape. 
• Compliant: Data collection methods are always compliant with GDPR/CCPA regulations, and site-specific robots.txt files. 

From Raw Data to Agentic Intelligence

This data provides a comprehensive intelligence foundation for agentic reasoning, which is then fed into our proprietary agentic AI system. The system takes advantage of: 

• Automated Online Data Pipelines: Automated collection systems feed structured data directly to Databricks environments, ensuring seamless integration between data capture and analytical processing.
• Real-Time Updates: The agent maintains continuous awareness of market changes, processing millions of data points as they occur to ensure current recommendations.
• Historical Context: The platform enables sophisticated trend analysis and pattern recognition, allowing the agentic AI to understand not just what's happening now, but how current conditions fit into broader market patterns.
• Multi-Source Integration: Comprehensive market intelligence spans Amazon, Walmart, Target, and emerging platforms, providing complete competitive landscape visibility.

The result is an AI system that always has access to the latest information: from real-time pricing changes and inventory fluctuations to emerging review trends and competitive movements. This fresh perception enables the agent to reason effectively about current market conditions and make recommendations based on the most current available intelligence. 

The Technical Innovation: Building a True Agentic AI System with Databricks

Now that we've seen what the system can do, let's explore how we built it with Databricks.

What Makes This a True Agentic AI System?

What distinguishes Nimble’s true agentic AI system from sophisticated chatbots or query-response tools? The answer lies in the Agentic AI Framework: Perceive, Reason, Act, and Learn.

Perceive

The agent continuously processes millions data points across key e-commerce marketplaces, maintaining awareness of pricing changes, inventory levels, review sentiment, competitive positioning, and market trends across thousands of products and categories.

Reason

Using Databricks Genie APIs and large language models, the agent understands business context and generates sophisticated strategies. It doesn't just process data: it interprets what the data means as a business signal in relation to specific business objectives and KPIs.

Act

The agent executes multi-step workflows and generates comprehensive analysis based on relevant signals to provide actionable insights & recommendations. This isn't limited to answering individual queries: the agent can orchestrate complex analyses that span multiple data sources and analytical frameworks.

Learn

The agent improves its recommendations based on outcomes and user feedback, continuously refining its data, signals, and understanding of what works for specific brands and market conditions.

Core Agentic Capabilities

This framework enables several core agentic capabilities that go far beyond traditional AI assistants:

Goal-Directed Analysis

The agent understands business objectives and can break down complex goals into actionable components. For example, when tasked with improving the Buy Box win rate, it automatically analyzes pricing competitiveness, inventory availability, and seller performance metrics.

Multi-Step Planning & Execution

Complex problems are decomposed into logical sequences of analysis. Investigating a rating decline becomes a systematic process: analyze recent review trends, identify common complaint themes, compare performance with key competitors, and suggest a comprehensive action plan.

Tool Orchestration

The agent seamlessly uses multiple analytical tools (such as Databricks queries, visualization libraries, and statistical analysis frameworks), deciding which tool to use based on the specific requirements of each task.

Self-Reflection & Adaptation

The agent evaluates the success of its previous recommendations and adjusts strategies accordingly. If a suggested 10% price reduction led to a 23% sales increase, the agent incorporates this learning into future pricing recommendations.

Technical Components: Deep-Dive Into How It Works

The technical implementation leverages three key components working in harmony:

Data Layer (Databricks)

The Unity Catalog tables store Nimble's comprehensive web data, with Genie Space configured specifically for e-commerce metrics. Real-time data refresh ensures the agent always works with current information.

AI Layer (Genie Conversation APIs)

Natural language queries are converted to SQL with full business context, including automatic query optimization and validation. Error handling with graceful fallbacks ensures robust operation even when dealing with complex or ambiguous requests.

Demo

Here’s a quick example of a multiple parallel call to Genie AI tools.

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Real-World Applications: Agentic AI Solving Complex Problems

The true value of agentic AI becomes clear when examining real-world applications. Consider these scenarios that demonstrate the system's sophisticated reasoning capabilities:

Complex Performance Analysis

Instead of digging through dashboards, just ask, “My sales dropped 10% vs. a month ago—what are some key reasons this could’ve happened?” 

The AI pulls signals from SERP rankings, competitor pricing and promotions, and consumer sentiment to generate relevant insights in seconds. 

Comprehensive Competitive Intelligence

Want to see how you're performing against your top competitors across key metrics? Ask, "In terms of price index, average rating, search position, and number of new reviews, how am I doing vs. my top 2 competitors?” 

The agent will analyze these performance indicators across your and your competitors’ product portfolios to generate a quick comparison. 

Content Optimization

Want to know if your listings are consistent across marketplaces? The AI can audit product titles, images, and descriptions, and highlight discrepancies that affect conversion or SEO. 

Just ask “How can I improve this product listing to rank higher than the competition?” or “What are the content similarities between my top 5 best ranking products?”

High-Level Executive Summaries

Executives need high-level clarity. Nimble’s AI agent can respond to multi-factored, complex, and high-level questions with instant analyses including visual summaries, trend identification, and competitive intelligence catered to your unique KPIs.

For example, if you ask, "What's our digital shelf health score this month? Give me a 2-sentence summary.”, you may get a response like:

“Your products have excellent category visibility, complete content, and are consistently in-stock, resulting in a digital shelf health score of 73 out of 100 this month. To boost your advantage even further, focus on increasing your review volume and lifting your average rating closer to 4.5 stars.”

Predictive Analytics Based On Past Performance 

Nimble’s AI agent evolves and learns over time, enabling it to proactively offer suggestions by intelligently comparing current conditions with past performance. It can offer predictive insights like: 

• “Promotions work best on Tuesdays and Thursdays.”
• “Adjust prices now—historical data suggests strong gains.”
• “My last three recommendations improved your metrics by 34%.”

Proven Business Impact & ROI of Agentic AI vs. Traditional AI

Agentic AI goes beyond simple questions and answers. By reasoning through complex problems, adapting to your workflows, and continuously improving, it delivers a strategic edge that traditional AI can’t match.

The Agentic Advantage: Quantified

Traditional AI tools typically answer direct questions with static responses. In contrast, agentic AI reasons across multiple dimensions, drawing connections between pricing, competitive shifts, customer sentiment, and operational factors.

• Intelligent Analysis: Goes beyond simple Q&A with layered, contextual insights.
• Problem Solving: Identifies all relevant signals that can help define the root causes of issues, not just the symptoms.
• Strategic Recommendations: Offers actionable insights and next steps tailored to your brand.
• Continuous Learning: Improves with each interaction, enhancing future performance. 

Traditional AI vs Agentic AI: Real Metrics

The business impact of agentic AI extends far beyond traditional AI capabilities:

Success Stories: Agentic AI in Action

Nimble’s E-commerce AI Agent has delivered real business results across verticals in preliminary beta testing. Here are a few testimonials from current users.

Major CPG Brand

 “Agentic AI uncovered a pricing gap that helped us recover $1.2M in monthly revenue.”

This brand had been losing margin in key product lines without clear visibility into why. The agent identified competitor pricing shifts across multiple marketplaces and flagged underperforming SKUs, enabling swift corrective action.

Growing Beauty Brand

“It handles complex analyses across our 500+ SKU catalog.”

The brand’s lean team struggled to keep up with performance reporting across dozens of marketplaces. Agentic AI automated performance deep dives, trend analysis, and content audits, freeing up time for strategic work.

Food & Beverage Leader

“Our Buy Box win rate jumped 47% with agent-driven insights.”

By continuously monitoring pricing, availability, and listing compliance across resellers, the agent provided real-time recommendations that helped the brand win the Buy Box more consistently, especially during peak sales periods.

The Strategic Impact

The advanced reasoning and autonomous capabilities of agentic AI compound in value over time as insights become more accessible, timely, and actionable across the business. Some key benefits include: 

• Higher Decision Quality: Better insights lead to better decisions. Agentic AI connects dots that traditional tools miss, giving decision-makers the full picture—not just isolated metrics. 
• Faster Time to Insight: Automated intelligence reduces analysis time from hours to minutes while ensuring consistent quality and enabling simultaneous analysis across hundreds of SKUs and competitors.
• Democratized Intelligence: With agentic AI, everyone from analysts to executives can get answers to their questions in natural language: no SQL queries or waiting for the BI team. This encourages standardized approaches and better organizational knowledge accumulation.
• Competitive Edge: Deeper market understanding and faster response capabilities enable proactive rather than reactive strategic positioning in the marketplace.

The Agentic AI Revolution: From Vision to Reality

For decades, autonomous AI was just a sci-fi dream. Now, it’s finally starting to be built in real life.

We've transformed vision into reality by building the first true agentic AI system for e-commerce intelligence. By combining Nimble’s real-time data platform, Databricks infrastructure, and Genie APIs, we’ve built a functioning AI system that goes beyond answering questions and actually reasons through complex problems with sophisticated intelligence that continuously learns and evolves with your business. 

Nimble’s E-commerce AI Agent has already delivered transformative results for early-adopting CPG brands and retailers and will continue to improve, becoming faster, smarter, and more effective over time.

Conclusion: The Future Is Agentic: Join the Revolution With Nimble

The question isn't whether agentic AI will transform e-commerce intelligence—it's whether your brand will be among the early adopters to gain a competitive advantage, or uf you’ll play catch-up with organizations that have already embraced the agentic future.

Want to join the revolution? Join us for a live demonstration at the 2025 Databricks Data + AI Summit, and learn how you can deploy agentic AI for intelligent e-commerce management, and transform from reactive queries to proactive intelligence.  Let AI become your always-thinking e-commerce expert that perceives market changes, reasons through complex challenges, and learns from every interaction.

Can’t come to the summit? Get in touch with our team for a personalized demo.