Furnishka

About Furnishka

Furnishka is a top furniture retailer in Bengaluru, offering handcrafted wooden furniture and home décor. They have a factory-direct model with large showrooms across the city and a growing e-commerce platform. Furnishka brings quality Swadesi craftsmanship to homes at affordable prices.

Their collection includes Sheesham wood sofas and recliners, marble dining tables, and a wide range of designer décor pieces — making Furnishka the go-to destination for modern homes in Bengaluru, combining quality, affordability, and design.

To scale commerce and convert inbound leads into sales without increasing headcount, Furnishka deployed TechMonk's AI Customer Platform across acquisition, engagement, and conversion.

Problem Statement

Furnishka set out to drive high-quality online traffic to increase showroom footfall, improve lead quality with AI agents, and reduce cost per lead — but faced classic showroom-centric retail challenges.

Low online traffic. Driving high-quality online traffic to increase showroom footfall was a persistent challenge for a showroom-led furniture retailer.
Poor lead quality. Inbound leads lacked clarity on intent and product fit, lowering the conversion rate at the showroom and wasting paid media spend.
High cost per lead. Rising paid acquisition costs combined with weak qualification eroded unit economics in a high-AOV, considered-purchase category.
Manual scale ceiling. Scaling commerce and support by converting inbound leads into sales required automation that could work without increasing headcount.

Solution: TechMonk AI Customer Platform

TechMonk's AI Customer Platform combined intelligent agents, unified customer data, automated campaigns, and personalised interactions tailored for an omni-channel furniture retailer.

Click2WhatsApp Ads Powered by TechMonk AI Agents

TechMonk's AI agents manage customer interactions on WhatsApp. If a customer sends a picture of a product they like, the WhatsApp AI agent recommends similar items, provides specs and availability, and guides the user to either book a showroom visit or complete the purchase. This captures visual discovery traffic and shortens the purchase path.

Omnichannel 2-Way Campaigns + CDP-Backed Micro-Segmentation

TechMonk's Customer Data Platform (CDP) combines browsing and purchase data to create specific micro-segments. For example, a customer viewing teak dining sets and engaging on Instagram is placed in a dedicated micro-segment for targeted 2-way campaigns across WhatsApp, SMS, and email — bringing high-intent customers to showrooms or the cart.

Agentic Workflows to Convert Online to Offline

TechMonk's AI agents automate workflows to convert online conversations into offline actions — booking a site visit, reserving items in-store, or generating redeemable coupons for pickup. Each action is recorded in the customer profile, ensuring showroom visits are trackable and measurable.

Support Automation + Human Handoffs

TechMonk's AI agents handle routine pre-sales and post-sales queries — product dimensions, lead times, delivery zones, customisation options. For complex inquiries, the AI agents route customers to showroom sales staff through a unified inbox, increasing efficiency and ensuring no leads are missed.

Benefits

✔Higher conversion from visual & social discovery: TechMonk's image-aware AI agents made it easier for shoppers who discover products via images or social media to find similar items and complete purchases.
✔Measurable online to offline lift: TechMonk's solution led to more scheduled showroom visits and a better visit-to-sale ratio, making digital efforts directly attributable to offline revenue.
✔Improved ad efficiency and lower wasted spend: By running 2-way drop-off campaigns, TechMonk reduced customer acquisition costs (CAC) and improved return on ad spend (ROAS).
✔Lower support & operations costs: Automated AI agents handled repetitive queries around the clock, reducing the need for human intervention.
✔Better retention & repeat purchases: Unified customer profiles enabled personalised post-purchase journeys — care tips, cross-sell opportunities for complementary items — driving repeat orders.

Measurable Results & Business Impact

All impact ranges below are defensible estimates based on TechMonk's deployed scope for this client, industry benchmarks, and observed performance across comparable engagements. Final metrics vary by cohort, season, and channel mix.

60% lower

Cost per Store Visit: Reduction in cost per store visit: dropped from ₹2,500 to ₹1,000 per visit through better digital qualification and AI-led routing.

1.25x

Visit-to-Conversion Rate: Visit-to-conversion rate improvement from 2% to 2.5%, driven by pre-qualified shoppers arriving at the showroom with clearer intent.

18%

Sales Cost to Revenue %: Sales cost-to-revenue percentage reduced from 24% to 18%, materially improving unit economics for the retail business.

Conclusion

Furnishka's transformation shows what is possible when an omni-channel furniture retailer pairs craft heritage with intelligent customer engagement. TechMonk's AI agents, CDP, and agentic workflows turned a showroom-centric business into a high-velocity, data-driven powerhouse where digital and physical reinforce each other.

The result is a measurable shift in retail economics — lower cost per visit, higher conversion at the showroom floor, and a sales-cost-to-revenue ratio that supports sustainable growth across new collections and new cities.