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Lead Qualification Bot: AI-Powered BANT Scoring System (n8n + Gemini)
Problem: Manual lead triage wastes sales time and delays response to high-intent leads. I built and stress-tested this system to prove how AI can qualify and route leads instantly — this is a self-directed portfolio build, not a live client engagement, but every scenario below reflects a production-ready workflow.
Solution: A form trigger captures lead data, Google Gemini scores the lead using BANT criteria (Budget, Authority, Need, Timeline), and a Code node parses the structured AI output. From there, three branches run in parallel: every lead logs to Google Sheets, every lead gets an automatic Gmail reply, and hot leads specifically trigger an instant Slack alert to the sales team.
Result: Tested across 5 distinct lead scenarios (hot/warm/cold) with 100% correct BANT classification. Hot leads trigger Slack alerts within seconds of submission — no manual triage required. The parallel branch architecture means logging, email response, and team alerting all happen simultaneously, not sequentially.
The network for creativity
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A packaging concept created to combine strategy, nostalgia, and a timeless American feel.
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Beautiful design 😍
🚀 Automated Lead Qualification & Instant CRM Enrichment
Are your sales reps wasting hours manually reviewing spreadsheets, qualifying leads, and copying data into your CRM?
This system solves that exact bottleneck completely hands-free.
How it works:
• Instantly captures incoming lead data from Google Sheets.
• Passes it to Google Gemini AI to analyze, qualify, and score the lead instantly based on custom business criteria.
• Smart-routes the data: High-value leads are instantly pushed into HubSpot CRM for the sales team, while standard leads automatically receive a hyper-personalized follow-up sequence via Gmail.
The Result: Zero manual data entry, lightning-fast lead response times, and an organized pipeline.
What we built SnapBook — a booking app for Luma & Lens Photography, a solo editorial wedding photographer in Lagos, Nigeria. It has two sides: a public booking flow where couples check a date, build their quote, and hold a date themselves in under two minutes, and an owner workspace where Tobi (the photographer) sees every inquiry, active date holds with live countdowns, confirmed weddings, and her availability calendar — working from her phone between shoots.
Why we built it Luma & Lens has a very believable problem. She's shooting 10-hour weddings Friday through Sunday and literally cannot reply to messages while working. Meanwhile, every inquiry looks the same: "Hi, are you available June 14th? How much do you charge?" Before SnapBook, that meant a 3–5 message back-and-forth just to check one date, then sending the pricing brochure again, then chasing the couple to actually commit — and some of them went cold or double-booked her weekend mentally before she ever confirmed.
What changed (the before/after)
Before: Couple messages Tobi → she replies hours later between shoots → quotes prices → waits → follows up → books (or loses them). Owner effort: days of fragmented WhatsApp admin.
After: Couple opens the link → sees live availability → picks their ceremony type, coverage, and guest band → gets an instant, upfront price in Naira → holds their date with a 24-hour reservation — no message to Tobi required. She opens the dashboard, sees the inquiry with full wedding details, and confirms. Owner effort: minutes.
