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AI SQL Agent for eCommerce
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
A growing eCommerce brand specializing in Amazon marketplace operations partnered with Oodles to build a powerful AI agent that functions as a virtual brand manager. The client wanted to turn natural language prompts into actionable insights by leveraging Amazon Seller Central data for real-time decision-making and sales performance monitoring.
Scope Of Work
The project aimed to streamline product performance analysis and sales monitoring through automation and AI. The client sought Oodles for a system to interpret natural language prompts, extract Amazon sales data, and return real-time insights across ASINs. Key areas of work included AI integration, workflow automation, and prompt-to-query interpretation for business intelligence.
Our Solution
To meet the client’s need for instant eCommerce insights, Oodles implemented a robust AI agent using n8n, OpenAI GPT-4, and Microsoft SQL Server.
Key features and functionalities:
- Natural Language Processing: Integrated GPT-4 to interpret user prompts and generate data queries.
- Sales Data Summarization: Returned real-time metrics such as sessions, ordered sales, buy box %, and ASIN performance.
- Daily Auto-Refresh: Automated export of Amazon Seller Central reports, ensuring up-to-date insights.
- ASIN-Level Dashboards: Delivered SKU and ASIN-level visual tables with date-wise breakdowns.
- Workflow Automation: Used n8n to create scalable, fault-tolerant logic paths and handle prompt processing.
- Debug & Support Layer: Built-in mechanisms to handle query errors, ensuring prompt issue resolution.