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Developed ParrotPOS, a smart point-of-sale solution designed to simplify billing, inventory management, and sales tracking for retail and business operations. The system helps businesses streamline daily transactions, monitor performance, and manage customers efficiently through a reliable and user-friendly platform.
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E-commerce Operations Automation & Order Management System
I designed an e-commerce operations automation system to show how a growing online store can handle increasing order volume without increasing repetitive manual work.
The system connects key operational processes—including order handling, customer data, CRM updates, inventory monitoring, customer notifications, internal alerts, and reporting—into one coordinated workflow.
Instead of teams manually transferring information between tools, checking stock, updating customer records, sending routine notifications, and preparing reports, the workflow automatically moves data and triggers the appropriate next action.
The system was designed around a simple operational flow:
Order Received → Customer Data Verified → CRM Updated → Inventory Checked → Customer Notified → Team Alerted → Reporting Updated
I also designed safeguards for exceptions and failed processes so issues can be identified instead of silently disrupting the workflow.
The result is an operational system designed to help an e-commerce business achieve:
Less manual processing • Fewer errors • Faster customer communication • Better operational visibility • Easier scaling
This project demonstrates how automation can become part of the infrastructure behind a growing e-commerce store—not just a collection of disconnected automations.
Tools & technologies: Shopify/WooCommerce workflows, n8n, Make, Zapier, CRM systems, APIs, spreadsheets, and automated reporting.
What caught my attention was the exception safeguards that surface failures instead of letting the flow die silently.
E-commerce Revenue Recovery & Retention Automation System
I designed an e-commerce revenue recovery and retention system to show how online stores can recover abandoned sales and bring more customers back to purchase again.
The system automates key customer journeys including abandoned-cart recovery, post-purchase follow-up, win-back campaigns, repeat-purchase reminders, and customer segmentation.
Instead of relying on manual follow-ups, the workflow uses customer behavior and purchase data to trigger the right action at the right time.
The system follows a simple journey:
Customer Visits → Adds to Cart → Abandons → Automated Follow-up → Purchase → Retention Workflow → Repeat Purchase
I also structured the system to track how customers move through each stage, so the business can see where revenue is being recovered and where customers are dropping off.
The project demonstrates how automation can help an e-commerce brand:
Recover lost sales • Increase repeat purchases • Improve retention • Reduce manual follow-up • Increase customer lifetime value
Tools & technologies: Shopify, Klaviyo/Zoho Marketing Automation, n8n, Make, Zapier, CRM systems, email/SMS automation, and customer-data workflows.
What caught my attention was the stage by stage tracking you built, it should pinpoint exactly where the drop offs happen and where the recovered revenue comes from
This project tackles a real small-business pain point: inventory silently running out because no one's tracking stock in real time.
Order processing (webhook-triggered): Incoming orders (supporting multiple items per order) are received via webhook, split into individual line items, and logged — each order simply appends a new entry to an order log rather than directly overwriting stock numbers.
Live stock calculation: Current stock for each item is computed on the fly, using a formula that subtracts all logged order quantities from the starting count.
Daily stock monitoring (schedule-triggered): A separate scheduled trigger runs once a day, checks every item's live stock against its own custom reorder threshold, and sends a Slack alert for anything running low — so restocking happens before customers ever notice a shortage.
The daily trigger that checks each item's live stock against its own reorder threshold and then pushes a Slack alert seems like a practical way to stay ahead of stockouts.