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CropNetra

AI-powered farm monitoring that detects crop issues early, reduces manual checks, and boosts with smart visual insights.

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AI-driven hiring platform that automates screening and matching, helping teams find the right talent faster and smarter.

CropNetra

AI-powered farm monitoring that detects crop issues early, reduces manual checks, and boosts yield with smart visual insights.

NeuroHire

AI-driven hiring platform that automates screening and matching, helping teams find the right talent faster and smarter.
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Data Intelligence System for Linking Customer Complaints with Sales Performance

We built a data intelligence and cross-referencing system that connects customer complaints with sales data to identify which product quality issues have the greatest business impact.
By integrating complaint analytics from Re:amaze and sales metrics from BigQuery, the system helps teams prioritize fixes, improve product quality, and enhance customer satisfaction based on actual revenue data.

Summary
Problem
Objectives
Challenges
Solution
Technologies
Architecture
Results & Impact

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Problem

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Objectives

Combine Quality and Sales Data
Correlate customer complaints with actual product sales.
Prioritize High-Impact Issues
Identify which defects affect best-selling SKUs.
Enable Supplier Accountability
Use data-backed insights for vendor performance management.
Improve Product Quality Strategically
Focus fixes where they create maximum business value.
Automate Reporting
Generate clear, structured summaries for cross-functional teams.

Challenges

Integrating two large-scale datasets (complaints and sales) with different schemas.
Parsing unstructured complaint data for relevant tags and product mentions.
Automating correlation and visualization at SKU-level granularity.
Maintaining data consistency and report generation efficiency.

Solution

We built a cross-referencing data intelligence system that connects complaint data from Re:amaze with sales data from BigQuery.
The AI engine parses complaint content, identifies patterns, and links issues with corresponding SKUs to calculate complaint-to-sales ratios.
It automatically generates insights showing which quality problems affect top-performing products, along with actionable summaries for suppliers and operations teams.
This creates a continuous feedback loop between customer experience, sales performance, and product quality management.

Technologies

Architecture

Data Extraction

Pull complaint and sales data from respective APIs.

Parsing & Tagging

NLP model extracts product mentions and issue types.

Cross-Referencing

Link complaints with SKU-level sales metrics.

Insight Generation

AI calculates impact ratios and revenue-weighted severity.

Reporting

Generate structured summaries for business and supplier review.

Results & Impact

Identified high-revenue products with recurring quality issues

Automated complaint-to-sales correlation and ranking

Enabled data-driven supplier accountability

Improved prioritization of quality investments

Enhanced collaboration between QA, CX, and finance teams

Problem solved. Brainy Neurals accelerates AI
development for everyone

Let’s transform your business with custom AI solutions — from
ideation to deployment.

Here’s What Clients Say About Working With Us

Let’s transform your business with custom AI solutions — from ideation to deployment.

What Our Clients are Saying

We’ve partnered with global businesses to deliver AI solutions that unlock growth, efficiency, and innovation.

Cornelius | Founder, Shatterpoint

“Brainy Neurals' AI algorithms have provided us with invaluable insights that have transformed our decision-making process. Their dedication to innovation and exceptional customer service make them the go-to partner for AI solutions.“

Vineet | Gauss Moto Inc

“Working with Brainy Neurals has been a game-changer for our organization. Their expertise in AI technology and their ability to tailor solutions to our specific needs have helped us stay ahead of the competition.“

Vlad Tudor | Founder, Sapio AI

“My experience with this RAG project was great. The team built a system that delivers accurate, context-aware responses. From summarizing documents to answering complex queries and improving knowledge retrieval, their efficient implementation ensured smooth and reliable performance.“

Dr. Alper Altinok | CEO, Bugmapper

“Working with Brainy Neurals has been a remarkable experience for our greenhouse farms. Their AI-powered chatbot provides real-time insights that have completely transformed our insect monitoring process. Their expertise and innovative approach have truly made a difference!“

Helen Yang | Founder, Andes Risk

“Brainy Neurals has done an outstanding job in developing an AI-powered chatbot that streamlines investor profiling. By leveraging advanced data analysis and LLM integration, they’ve made it effortless to understand each client’s risk tolerance and investment behavior. Truly impressive work!“

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Smart. Secure. Enduring. AI built to empower.

Smart. Secure. Enduring. AI built to empower.

Intelligence, built together

Smart. Secure. Enduring. AI built to empower.

Smart. Secure. Enduring. AI built to empower.

Smart. Secure. Enduring. AI built to empower.

Intelligence, built together

Data Intelligence System for Linking Customer Complaints with Sales Performance

Tags

Summary :

Problem

Problem

Objectives

Challenges

Solution

Technologies

Architecture

Results & Impact

Identified high-revenue products with recurring quality issues

Automated complaint-to-sales correlation and ranking

Enabled data-driven supplier accountability

Improved prioritization of quality investments

Enhanced collaboration between QA, CX, and finance teams