AI CRM

Inspiration

CRM teams often receive leads from Facebook Ads, Google Ads, Excel files, and other CRMs, all with different column names and formats. We wanted to make importing this messy data simple, automatic, and reliable using AI.

What it does

GrowEasy CSV Importer lets users upload any CSV, preview the data, and import it into a fixed CRM schema. AI intelligently maps arbitrary columns to CRM fields, while built-in rules handle validation, phone numbers, enums, missing data, and other edge cases.

How we built it

We built it with Next.js for the frontend and Node.js for the backend. CSVs are parsed using PapaParse, and Groq LLMs handle intelligent field mapping. Zod validates AI outputs, while a deterministic fallback ensures imports still work if the AI fails or is unavailable. We also added batching, retries, logging, tests, and Docker support.

Challenges we ran into

The biggest challenge was making AI reliable enough for real CRM data. LLMs can produce inconsistent outputs, so we separated AI-based mapping from deterministic business rules and added validation, retries, and a fallback extractor.

Accomplishments that we're proud of

We built a complete AI-powered CSV import pipeline that doesn't depend entirely on AI to succeed. It can handle messy CSV data, process batches, recover from API failures, and enforce CRM rules consistently.

What we learned

We learned that reliable AI applications need more than an LLM. Validation, deterministic logic, retries, fallbacks, and good data handling are equally important.

What's next for AI CRM

We want to expand GrowEasy with AI-powered lead enrichment, deduplication, lead scoring, natural-language CRM queries, automated follow-ups, and intelligent sales insights.

Built With

• javascript
• nextjs
• node.js