Gist
AI-powered customer support and marketing automation platform
A US-based SaaS company worked with Mallow from the early stages of building its customer support and marketing automation platform. The platform enabled businesses to manage customer communication, marketing campaigns, lead engagement, and support operations from a unified system.
As the platform scaled, the client faced challenges in handling growing customer interactions, repetitive support queries, and operational complexity.
To address this, Mallow introduced an AI-powered support and engagement layer that combined conversational AI, workflow automation, and customer intelligence to improve response efficiency, reduce operational overhead, and support scalable growth.
2017 – Ongoing
Web application
Customer support and marketing automation
improvement in customer response time and support efficiency
operational cost savings through intelligent AI optimization
Key challenges and how we solved them
What was the client’s key challenge
As the platform scaled, the client faced challenges managing repetitive customer queries, large datasets, complex search operations, and real-time analytics. These issues affected response speed, operational efficiency, and overall scalability.
The client also struggled with email deliverability and rising AI infrastructure costs. A scalable and cost-efficient approach was needed to automate customer interactions without impacting performance or customer experience.
Reduction in manual support workload
80%
What was our approach
Mallow introduced a scalable AI-powered support and marketing ecosystem integrated directly into the existing SaaS platform. The solution combined conversational AI, workflow automation, behavioural tracking, advanced analytics, and intelligent customer engagement into a unified system.
A layered AI architecture was implemented to separate conversational intelligence, retrieval systems, orchestration layers, and business logic. Intelligent query filtering and intent detection reduced unnecessary AI usage, while advanced search infrastructure and analytics pipelines improved scalability, operational efficiency, and real-time customer engagement.
Key functionalities delivered in the project
01
Customer support and live chat system
Enabled businesses to manage real-time customer interactions through integrated live chat, messaging, and conversational engagement capabilities.
02
Email marketing and lead engagement
Supported targeted campaigns through broadcasts, drip campaigns, follow-ups, and behavioural segmentation to improve lead nurturing and customer engagement.
03
Workflow automation and customer journeys
Allowed businesses to automate repetitive marketing and support workflows using triggers, actions, and configurable customer journey automation.
04
AI-powered chatbot and conversational support
Implemented AI-driven customer support automation capable of handling repetitive queries, routing conversations, and providing context-aware responses.
05
AI Copilot for support agents
Developed an AI Copilot system to assist support teams with context-aware response suggestions based on historical interactions and knowledge sources.
06
Intelligent query filtering and AI cost optimization
Introduced intent detection, spam control, and selective AI invocation mechanisms to reduce unnecessary AI usage and optimize operational costs.
07
Embedding-based knowledge retrieval
Built a vector-based retrieval system using documents, knowledge bases, historical interactions, and customer data to improve contextual response accuracy.
08
Real-time analytics and event tracking
Implemented scalable event tracking and customer analytics infrastructure to process and analyse large volumes of behavioural data in real time.
09
Advanced search and filtering capabilities
Integrated Elasticsearch-based search architecture enabling fast filtering, lead access, and high-performance customer data retrieval.
10
Knowledge base and self-service support
Enabled businesses to provide self-service customer support through searchable help articles and centralized knowledge management.
11
Meetings and scheduling integration
Integrated scheduling and calendar capabilities to streamline customer meetings and engagement workflows.
12
Multi-tenant AI and customer data isolation
Designed secure customer-level data isolation mechanisms to support scalable multi-tenant SaaS operations.
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Technologies and capabilities to build and scale
Technology stack
AI chatbot specific technology stack
Services offered
Business analysis
Defined workflows, AI support scenarios, and scalable customer engagement requirements.
UI/UX design
Designed intuitive interfaces for conversational support and customer engagement workflows.
Frontend development
Built responsive interfaces for support operations, engagement, and AI interactions.
Backend development
Developed scalable APIs, workflow engines, and AI orchestration infrastructure.
AI & chatbot development
Built conversational AI systems using retrieval, orchestration, and intent classification.
Quality assurance
Conducted end-to-end testing across workflows, AI responses, and platform scalability.
DevOps
Configured scalable infrastructure, monitoring systems, and deployment automation pipelines.
Integrations
Integrated third-party platforms, email systems, scheduling tools, and customer services.
How we approached and executed the project
The engagement began by analysing customer engagement workflows, support inefficiencies, operational issues, and scalability limitations across marketing and support operations.
Team Mallow conducted detailed discovery sessions to understand customer journeys, lead management flows, marketing operations, support processes, and AI interaction opportunities.
A detailed architecture and solution specification was created covering marketing automation, AI orchestration, analytics pipelines, search systems, and customer engagement workflows.
Interfaces and conversational experiences were designed and validated to ensure usability, operational efficiency, and seamless customer engagement.
The platform was built using a layered architecture combining SaaS infrastructure, workflow systems, analytics pipelines, vector retrieval systems, and AI orchestration layers.
AI-powered conversational systems were implemented with controlled retrieval mechanisms, intent filtering, confidence validation, and cost optimization strategies.
Scalable infrastructure was configured for deployment, monitoring, logging, analytics processing, and high-volume customer interaction handling.
Designed around distinct user roles and their pain points
Platform admin
Core need
Ensure scalable infrastructure, analytics visibility, and controlled AI system management.
Biggest pain
Growing workloads required scalable infrastructure and performance optimization.
Full access, web-focused
Marketing teams
Core need
Manage campaigns, engagement, and customer communication through unified workflows.
Biggest pain
Fragmented systems limited visibility, automation efficiency, and campaign performance.
High frequency, campaign-focused
Support teams
Core need
Handle complex customer issues while reducing repetitive support workload.
Biggest pain
Manual query handling increased workload, costs, and operational inefficiencies.
Frequent usage, operations-focused
What impact did team Mallow deliver?
- Reduced repetitive support workload using AI-powered conversational automation and intelligent query handling.
- Improved customer response times through real-time AI-driven customer interaction and support automation.
- Built scalable infrastructure supporting growing customer engagement without proportional operational team expansion.
- Optimized AI operational costs using intent filtering, spam control, and selective AI invocation.
- Enhanced search and analytics performance using Elasticsearch and ClickHouse for real-time processing.
- Improved marketing automation through behavioural targeting, workflow automation, and customer engagement capabilities.
- Delivered accurate, context-aware, and consistent customer interactions across automated and human-assisted support.
- Established scalable AI architecture supporting future automation, personalization, and operational AI-driven enhancements.
Explore more on what really goes into shaping our client's successful outcomes?
No two journeys here follow the same path. Each story captures a different starting point, set of constraints, and path to execution. As you explore our portfolio, you’ll see how priorities shifted, what trade-offs were made, and how decisions evolved in response to real-world challenges. It gives you a more complete view of what actually shapes outcomes, beyond just what gets built.
