You will get Zapier/Make/n8n AI Lead Engine: From Meta & Shopify to CRM
Project details
You will get a done‑for‑you AI lead engine that captures every lead from Meta ads and Shopify, sends them to your CRM or Google Sheets, and runs smart email/WhatsApp follow‑ups so you close more sales on autopilot. I specialize in Zapier, Make, and n8n automations for ecommerce and digital businesses, with a strong background in web development and marketing funnels. The project includes clean, documented workflows and a short video walkthrough so your team can understand, monitor, and improve the system anytime.
AI Development Type
Deep Learning, Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 3 | 9 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Niyati
AI Web Developer | Shopify, Webflow & n8n Integrations
Ambala, India - 10:55 pm local time
Short version (one-liner): I turn product ideas and messy workflows into production-grade websites, AI agents, and automation stacks that reduce manual work, lift conversions, and scale predictably — from Figma to Webflow/Shopify/Magento and from n8n to LLM-powered chatbots.
What I actually deliver (step-by-step, technical → business)
Each item below shows how I build it (technical steps) and what it buys you (business outcome).
1) Pixel-perfect Websites & Landing Pages (Figma → Webflow / HTML)
Technical: design audit → responsive Figma comps → componentized Webflow/CSS grid build → CMS models, SEO schema, performance budget, Lighthouse tuning.
Business: faster launch (weeks not months), consistent A/B testing, lower bounce & higher lead capture (real metrics to track).
2) E-commerce (Shopify / Magento 2 / Shopify Apps)
Technical: catalog modeling, product/variant APIs, headless storefront options, cart & checkout UX, custom Shopify app or Magento module, payment gateway + webhooks, inventory sync.
Business: fewer checkout drop-offs, automated inventory/fulfillment sync, improved average order value via personalization.
3) AI Chatbots & Agent Development (AI Bot / AI Agent / AI App Dev)
Technical: intent analysis → knowledge architecture (RAG: embeddings + vector DB) → LLM selection (latency vs. accuracy) → prompt engineering, tool connectors (search, calendar, DB) → monitoring & safety controls.
Business: automated 1st-touch support, faster lead qualification, 24/7 triage that captures intents and feeds CRM — less time lost to repetitive Qs.
4) Automation & Integrations (n8n / Zapier / custom)
Technical: idempotent webhook design → auth & secrets handling → retry logic, rate limits, queueing → observability (logs + alerting) → low-code orchestration in n8n or custom lambda.
Business: saves manual hours, eliminates sync errors, shortens sales cycles (and tightens data consistency across systems).
5) Design + Content Tooling (Figma + Canva → deliverables)
Technical: design systems, reusable components, export pipelines, image optimization, content templates for CMS.
Business: faster marketing iterations, consistent brand, easier ad creative refreshes.
6) Custom Apps & Backends
Technical: REST/GraphQL APIs, auth (JWT/OAuth), DB schema, CI/CD, containerization, basic infra on cloud of choice.
Business: robust, auditable, maintainable systems that reduce technical debt and make future features cheaper.
My process (no fluff — a practical sprint)
Discover: data + goals + KPIs.
Architect: ER diagrams, API contracts, cost/latency tradeoffs.
Build: componentized, test coverage, automation-first.
Validate: staged rollout, telemetry, KPI tracking.
Iterate: A/B, feedback loop, SLA handoff.
Tech stack highlights (what I use and why it matters)
Frontend: Figma → Webflow / React (fast iterations; designer-friendly handoffs).
E-commerce: Shopify (SaaS speed) / Magento2 (custom catalog power).
Automation: n8n / Zapier (replaceable orchestration layer).
AI: embeddings + vector DB + LLMs (RAG for factual answers; fine-tune where latency allows).
Ops: CI/CD, logs, monitored webhooks, backups.
Business outcomes I guarantee you’ll care about
Time-to-market cut by 30–60% with componentized builds.
Manual workload cut (automation) — typical projects save 10–40 hrs/week.
Conversion-focused: measurable lift via A/B and analytics; I build tracking first.
Predictable maintenance: clear docs, runbooks, and observability.
Why work with me (the blunt truth)
I don’t sell templates. I deliver systems: reusable components, secure integrations, and AI that actually helps customers instead of hallucinating. I’m pragmatic, fast, and plainspoken — prefer ship + learn over perfect paralysis.
If you want one more thing: I’ll map your current stack to a prioritized roadmap with estimated hours and business impact — a single page, no fluff, showing ROI per feature.
Let’s convert your skill tags into predictable outcomes.
Steps for completing your project
After purchasing the project, send requirements so Niyati can start the project.
Delivery time starts when Niyati receives requirements from you.
Niyati works on your project following the steps below.
Revisions may occur after the delivery date.
Project kickoff, access, and flow design
I review your goals and lead sources (Meta, Shopify, forms), get access to your tools, and design the AI lead engine flow: where leads go, how they are tagged, and which email/WhatsApp sequence they enter.
Build, test, and handover
I build the workflows in Zapier/Make/n8n, run test leads end‑to‑end, fix any issues, then share a walkthrough video and simple documentation so you can monitor and edit the automation anytime.