Case Studies
The Challenge:
ArtisanChilli, an e-commerce store specializing in chilli products, was experiencing high volumes of customer inquiries, overwhelming their support team and leading to slower response times for common questions.
Our Solution:
We designed and implemented an intelligent customer service chatbot integrated directly into ArtisanChilli's Shopify store. The chatbot was trained to handle Level 1 and Level 2 support tickets, such as order tracking, product information, and FAQ responses, and to escalate complex issues to human agents.
The Result:
By implementing the chatbot to handle routine queries, we reduced the customer service team's workload on Level 1 & 2 tickets by 70%. This allowed the team to dedicate more time to complex customer issues, improving overall customer satisfaction by 25%. Furthermore, by analyzing common chatbot queries, ArtisanChilli identified a high demand for a specific chilli sauce, leading to a targeted promotion that increased its sales by 40%.
Technologies Used:
The Challenge:
A busy waste management company was struggling with high call volumes, leading to missed calls and inefficient routing. Staff were frequently interrupted by basic inquiries about pickup schedules, service requests, and billing.
Our Solution:
We developed and deployed an AI-powered voice receptionist. This virtual agent handles incoming calls 24/7, answers frequently asked questions (e.g., "When is my recycling day?"), allows customers to schedule special pickups, provides basic billing information, and intelligently routes complex calls to the appropriate human staff.
The Result:
The AI receptionist reduced missed calls by 85% and improved call routing accuracy significantly. This freed up approximately 15 hours of staff time per week, allowing them to focus on more complex customer service issues and operational tasks, leading to a 30% improvement in customer satisfaction scores related to call handling.
Technologies Used:
The Challenge:
E-commerce retailers often struggle to produce high-quality, consistent product images that match their branding across platforms. Many small-to-medium-sized sellers lacked the resources to conduct professional photoshoots for every product, leading to inconsistent product visuals, lower engagement, and a drop in trust from potential buyers.
Our Solution:
We developed an AI marketing tool that automatically generates professionally styled product images with customizable backdrops and 360° rotating views. The tool allowed users to upload a basic product image and select from a range of on-brand, AI-generated environments (e.g., studio, lifestyle, seasonal). It also generated smooth rotation animations to improve user engagement and dwell time on product pages. Using a simple interface, clients could drag-and-drop SKUs, preview image styles in real time, and export ready-to-use content for web and social media platforms — no design team required.
The Result:
After implementing the tool, clients reported a 35% increase in product page engagement, a 50% decrease in reliance on external photography, and up to 3x more time spent on carousel product views. One fashion brand saw a 22% boost in add-to-cart rates after deploying rotating AI-generated images across their top-selling lines. Additionally, by analyzing which visual themes performed best, brands began to align their seasonal ads with the highest-performing backdrops — unlocking a new level of data-driven design optimization.
Technologies Used:
The Challenge:
A lifestyle brand with a growing audience on Instagram and Telegram was overwhelmed by repetitive DMs, such as order inquiries, product questions, and promotional requests. Managing these manually was consuming hours of staff time daily and often led to late or missed replies, damaging customer satisfaction and hurting conversion rates from inbound messages.
Our Solution:
We developed and deployed custom AI-powered bots for both Instagram DMs and Telegram channels. These bots were trained to: • Respond instantly to FAQs (e.g., shipping times, sizing guides, restock alerts) • Route high-priority messages to human agents • Collect user intent (e.g., “I’m interested in X product”) and tag users for follow-ups • Run automated lead-gen flows (e.g., giveaways, promo codes, waitlist registration) • Use natural-sounding, on-brand tone aligned with the brand’s voice We used webhooks and official APIs to ensure real-time sync with Shopify inventory and CRM tools, enabling seamless handoff when human intervention was needed.
The Result:
Within 30 days of implementation: • 85% of DMs were resolved automatically without human involvement • Customer response time dropped from hours to seconds • Lead capture via Telegram grew by 2.4x, contributing to a 28% increase in email signups • One promotion campaign handled entirely via bot led to 18% more conversions compared to previous campaigns The automation also freed up the marketing team to focus on campaign strategy rather than message triaging.
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