Project Screenshots
The Challenge
Small and medium clothing boutiques (such as Love Story) face several operational inefficiencies:
High Staff Overhead & Missing Inquiries: Manually answering customer questions, sharing pricing, and collecting shipping addresses via WhatsApp is extremely time-consuming and prone to human error or missed messages.
Customer Retention: Lack of interactive loyalty/points systems to incentivize repeat visits.
Disconnected Marketing channels: No automated way to reward customers for word-of-mouth marketing (like tagging the boutique on Instagram).
Inefficient Order Processing: Manually printing invoices, tracking order statuses, and syncing contact lists across multiple sheets.
Our Solution
A unified, localizable management dashboard with the following features:
24/7 WhatsApp AI Bot: Powered by Google Gemini, communicating in both English and local Gujarati to answer product inquiries, check points, and handle orders.
Loyalty Points Program: Automatically tracks customer purchases, rewarding points where 1 Point = ₹1 Discount.
Digital Scratch Card System: Customers receive a unique web link via WhatsApp where they can interactively "scratch" to reveal discount coupons.
Instagram Rewards: Customers tag the shop on Instagram to claim loyalty points, which admin reviews and approves in one click.
Order & Inventory CRM: Full-featured dashboard to log walk-in orders, auto-generate invoices (PDF), update inventory, and filter customer groups.
AI Description Generator: Instantly drafts optimized product listings for the inventory.
The Result & Business Impact
100% Automated Testing: Complete verification of all system actions (25/25 test cases passed) as detailed in the
Software Test Case Document
.
Drastic Time Savings: Fully automates regular queries, saving up to 80% of staff time spent on WhatsApp messaging.
Boosted Engagement: Drives local marketing and customer retention through gamified scratch cards and Instagram reward integration.
Zero Ongoing SaaS Costs: Tailored one-time setup on a self-hosted stack.