Inno Digital Biz · Conversational AI

Enterprise-Grade
Chatbot Technology Platform

Built on CKN Technology · Intelligent assistants · Secure integration

Inno Digital Biz delivers AI-powered chatbots that go beyond FAQs. We design, build, and operate conversational solutions that connect to your core systems, understand your business context, and automate real workflows across web, mobile, LINE OA, and internal applications – powered by the CKN Technology Framework.

Solution Overview

Chatbot Technology for Modern Enterprises

Our chatbot solutions combine Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and workflow automation to deliver consistent, secure, and measurable experiences across your customer and employee journeys – with governance and observability from the CKN Technology stack.

Omnichannel Experience

Deploy one conversational brain across multiple channels: website widget, mobile app, LINE OA, internal portals, and contact center systems, with consistent tone and answer quality.

Knowledge & Workflow Automation

  • • RAG on policies, SOPs, product catalogs, and manuals
  • • Connect to ERP/CRM/TMS/WMS to read & update real data
  • • Trigger workflows (tickets, approvals, service requests)

Enterprise-Ready & Secure

Identity and access control, audit logs, data masking, and deployment options that match your IT governance – from private cloud to on-premise – using the CKN Technology Core & Server components.

Practical Applications

High-Impact Chatbot Use Cases

We focus on use cases that combine natural conversation with real system integration, so the chatbot can answer, execute, and escalate – not just talk.

Customer Service Internal Support Operations Supply Chain

CKN Ecosystem

Chatbot Technology Across CKN Products & Businesses

The same chatbot foundation can be applied and specialized for each CKN business line and product, creating a consistent AI experience across supply chain, marketing, operations, and edge automation.

Inno Supply Chain Biz

Chatbot as the conversational layer on top of TMS, WMS, Slot Booking, and Planning platforms.

  • • Ask for shipment status, dock assignment, and queue length
  • • Get proactive alerts on delays and exceptions
  • • Explain planning results (why this route? why this truck?)
Connected to Inno Supply Chain Biz APIs

Inno Marketing Biz

Conversational marketing copilot to support campaign design, customer engagement, and analytics.

  • • Turn marketing briefs into campaign ideas and content drafts
  • • Qualify leads via chat and send data to CRM
  • • Summarize campaign performance and suggest optimizations
Integrated with Inno Marketing Biz tools & CDP

GENEX Product

Generative experience (GENEX) assistant delivering personalized, AI-driven experiences across channels.

  • • Hyper-personalized conversations per user profile and history
  • • Context-aware recommendations for content, products, and actions
  • • Shared conversational brain reusable by multiple GENEX touchpoints
Built natively on CKN Core, Data & UI

METRIX EDGE

Chatbot companion for edge devices, weighbridges, and plant-floor automation under METRIX EDGE.

  • • Ask about live sensor readings, scale status, and alarms
  • • Explain anomalies detected by edge analytics
  • • Guide operators through SOPs and troubleshooting steps
Runs against METRIX EDGE APIs & telemetry streams
Architecture Highlights

LLM Engine · Knowledge Layer · Integration Layer

Our chatbot technology is designed as a modular platform that separates conversation logic, knowledge management, and system integration. This makes it easier to scale, govern, and extend to new use cases over time – fully aligned with the CKN Technology architecture.

  • Conversation & Orchestration Layer

    LLM-based orchestration engine that handles intent detection, tool-calling, and multi-turn conversation flows with guardrails and safety policies.

  • Knowledge & RAG Layer

    Vector store and content pipelines to index documents, FAQs, SOPs, and domain-specific knowledge with access control per business unit.

  • Integration & Workflow Layer

    API connectors to ERP, CRM, ticketing systems, and internal microservices, enabling the chatbot to read real-time data and execute business workflows.

LLM Orchestration RAG Knowledge Base Omnichannel Secure Integrations Observability Multi-tenant Ready
channel-router.ts
routeMessage({ channel, message }) {
  if (channel === "line") return handleLine(message);
  if (channel === "web") return handleWeb(message);
  return handleDefault(message);
}
rag-config.json
{"domain": "support",
 "sources": ["FAQ","SOP","KB"],
 "top_k": 5,
 "filters": {"locale": "th-TH"}}
Configurable knowledge pipelines
event_bus (simplified) Healthy
[BOT] → detect_intent("reset password")
[TOOL] → call_tool(iam.requestResetLink)
[WORKFLOW] → workflow.saga("notify-user-email-sent")
[CKN-AUDIT] → log(user="emp123", action="password-reset")

*Diagram is conceptual. Actual implementation is tailored to each customer's IT landscape.

Technology Stack

Powered by CKN Technology Framework

The chatbot platform is built on the CKN Technology stack – a set of reusable components for core services, data, UI, and integration – allowing us to deliver consistent, secure, and maintainable solutions across projects.

CKN Core

Foundational services used across chatbots and other applications.

  • • Identity & access control (RBAC/ABAC)
  • • Configuration & feature flags
  • • Logging, tracing, and audit trail

CKN Data

Data and knowledge management for AI and analytics.

  • • Vector store for RAG
  • • Document ingestion pipelines
  • • Metadata, tagging, and access control

CKN Server

Backend runtime used by the chatbot and integration layer.

  • • API gateway and microservices
  • • Integration adapters (SAP, ERP, CRM, TMS, WMS)
  • • Queue/event bus connectors

CKN UI

Frontend components and chat UI building blocks.

  • • Reusable chat widgets and panels
  • • Admin dashboards and analytics views
  • • Consistent design system for all apps
deployment.env
CKN_ENV=production
CKN_REGION=asia-southeast1
CKN_OBSERVABILITY=enabled
CHATBOT_CHANNELS=web,line,portal
RAG_TOP_K=5
ckn-observability.log
[METRIC] chatbot.latency.p95 = 820ms
[METRIC] chatbot.csat.score = 4.6
[LOG]    channel=line severity=INFO
[TRACE]  conversation_id=abc123 span=tool-call
security-policies.yml
policies:
  - name: mask-sensitive-data
    applies_to: ["id_card","phone","email"]
  - name: allow-tools
    roles: ["agent","admin"]
    tools: ["erp.*","tms.*"]

Engagement Approach

Chatbot Implementation Roadmap

We follow a structured, low-risk approach from discovery to production, ensuring that your chatbot delivers measurable value and can safely scale to new use cases.

Phase 0
Discover & Define

Understand use cases, journeys, KPIs, data sources, and IT constraints. Prioritize quick wins and define success metrics.

Phase 1
Design & Prototype

Conversation design, knowledge mapping, integration blueprint, and clickable or working prototype for key journeys.

Phase 2
Build & Integrate

Implement chatbot engine, RAG pipelines, API integrations, and admin tools. Connect to channels (web, LINE OA, etc.).

Phase 3
Pilot & Optimize

Run pilot with selected users, analyze conversations, tune prompts and flows, and refine knowledge content.

Phase 4
Scale & Evolve

Roll out to more users and channels, add new use cases (sales, support, operations), and continuously improve with analytics.

Start Your Conversational AI Journey with
Inno Digital Biz

Whether you are planning your first chatbot or upgrading an existing solution, our team can help you design the right architecture, select the right models, and integrate with your business systems securely – using the CKN Technology platform as your foundation.

Chatbot Technology & AI Solutions by Inno Digital Biz, powered by CKN Technology.