Moltifoam

Building an AI-powered mattress inspection & warranty support agent for MoltyFoam

MoltyFoam wanted a faster and more scalable way to handle customer complaints related to mattress damage, care guidance, and warranty support.

What we built

Origami Studios developed an AI-powered inspection and support agent that allowed customers to upload mattress images through the website or WhatsApp for automated issue analysis and customer assistance.

Industry:

Retail & Ecommerce

Services:
  • AI Product Engineering
  • Conversational AI Development
  • Voice AI Integration
  • Omnichannel Automation
  • Enterprise Platform Engineering
Technology stack
LLMs Computer Vision AI Agents NLP Conversational AI Image Classification Models RAG Architecture WhatsApp Integration Cloud-Native Infrastructure Real-Time Messaging Infrastructure

Client's challenge

Customer support teams were manually reviewing mattress complaints related to:

  • Sagging
  • Water damage
  • Fabric wear
  • Stains
  • Structural issues
  • Warranty eligibility

The process required image reviews, repetitive support conversations, and manual case handling, which slowed response times and increased operational workload.

The client needed a system that could automate early-stage inspection workflows while improving customer experience across digital channels.

Our solution

Origami Studios built an AI-powered visual inspection agent integrated with the MoltyFoam website and WhatsApp workflows.



Customers could upload mattress images directly into the system, where AI models analyzed:


  • Sagging patterns
  • Water spill damage
  • Surface deformities
  • Wear and tear indicators
  • Potential warranty conditions


The AI agent generated:


  • Damage analysis
  • Care recommendations
  • Warranty guidance
  • Customer support responses

The platform combined Computer Vision, AI agents, NLP, and Conversational AI workflows to automate customer interactions and support decision-making.

Key features

  • AI-powered mattress inspection
  • Computer vision damage analysis
  • Automated warranty assistance
  • AI customer support agent
  • WhatsApp AI workflows
  • Website AI integration
  • Image-based issue detection
  • Care recommendation engine
  • Conversational AI support
  • Real-time customer guidance

Results & expected outcomes:

<2 hrs

Average complaint response time

Warranty and damage complaints resolved end-to-end no manual triage required

WhatsApp + Web AI agent

10,200+

Qualified visits generated

AI-driven campaigns brought high-intent traffic directly into the support and sales funnel

Paid + organic channels

1.3M+

Customer conversations handled

AI resolved warranty claims, inspection queries and care guidance — automatically, at scale

Sub-1-sec response time

85%+

Reduction in manual inspection workload

Computer Vision AI analysed mattress images sagging, fabric wear, stains, structural issues instantly and accurately, freeing the team from repetitive review

Biggest operational impact

<1 sec

AI response time across every channel

Real-time replies on WhatsApp and Meta Messenger customers received damage analysis and warranty decisions before they considered escalating.

Real-time infrastructure

What this meant for MoltyFoam's team day-to-day

  • Faster claim resolution: Customers stopped waiting days for a warranty verdict AI delivered it in minutes.
  • Support team refocused: Staff moved off routine complaint handling and onto complex, high-value customer relationships.
  • Scale without hiring :1.3M+ conversations managed without growing the support headcount proportionally
  • Omnichannel reach unlocked: WhatsApp, website & Meta Messenger all served from one unified AI platform.
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Most AI vendors focus on models. We focus on adoption.

The platform was developed with:

  • Secure image processing workflows
  • Cloud-native AI infrastructure
  • Scalable support architecture
  • Encrypted customer interaction handling
  • Real-time messaging integration

Operational impact

  • Faster customer engagement
  • Reduced manual support dependency
  • Centralized customer communication
  • Improved operational scalability
  • Security & Infrastructure

The platform was
engineered with

  • GDPR-aligned architecture
  • SOC2-ready infrastructure
  • Encrypted customer conversations
  • Enterprise-grade cloud scalability