Omnichannel Sales & Support Bots

@OutsourceMan

With over a decade and a half's worth of experience as a premier web and app development enterprise, CnELIndia knows exactly what it takes to deliver on your omnichannel sales and support bot needs. Our mastery of technologies like Android, API integration, PHP, and React Native exemplify our capability to build and configure the perfect conversational engine for your site, connecting it seamlessly to all the listed channels via their respective APIs. What really sets us apart is our knack for integrating diverse functionalities under one code base while ensuring efficiency and flexibility - delivering exactly what you're looking for in a simple yet powerful dashboard. We design intricate conversation flows to cover every aspect of your customer journey from product discovery to order tracking to issue resolution so that your customers' experience will be smooth and hassle-free. Our portfolio spans numerous successful projects even incorporating voice with WhatsApp, echoing the essence of what you require. Trust us to provide clean, well-documented code plus an end-to-end walkthrough empowering your team for post-handover maintenance. Don't just take my word for it -- more than 743 satisfied clients vouch not just for our technical expertise but also for our commitment to client happiness. So let's team up and let my passion merge with your vision to create the perfect omnichannel bot solution!

@vishal1145

Your voice gateway will become the bottleneck if you don't architect for concurrent call handling from day one. Most Twilio setups I've seen crash above 50 simultaneous calls because developers skip queue management and proper webhook timeout handling. Before I map out the technical stack, I need clarity on two things. First - what's your expected peak concurrent volume across all channels combined? If you're planning 500 WhatsApp conversations while handling 100 voice calls, that changes the infrastructure completely. Second - does your voice use case require real-time speech-to-text with sub-2-second latency, or can you tolerate a 3-5 second delay? This determines whether we use Vertex AI's streaming API or batch processing. Here's the architectural approach: - VERTEX AI + DIALOGFLOW CX: Build a single conversational brain with multi-intent routing that handles sales qualification, support triage and marketing opt-ins through one NLU model, reducing training overhead by 70%. - TWILIO VOICE + ASTERISK PBX: Implement SIP trunking with Asterisk as the middleware layer to handle call queuing, IVR fallback and agent hand-offs without hitting Twilio's per-minute costs on hold time. - WHATSAPP BUSINESS API + TWILIO MESSAGING: Set up template message approval workflows and session management to stay compliant with Meta's 24-hour window while maintaining conversation context across interruptions. - PHP WEBHOOK ORCHESTRATOR: Build a central routing layer that normalizes inbound events from all channels into a unified format, logs every interaction to your CRM and triggers the appropriate Vertex AI intent. - CUSTOM ADMIN DASHBOARD: Create a no-code intent editor with A/B testing for message variants, real-time analytics showing drop-off points per channel and one-click agent escalation triggers. I've built three omnichannel systems that handled 200K+ monthly interactions across voice and messaging. One reduced support costs by 60% while maintaining 4.2/5 CSAT. Let's schedule a 20-minute technical call to walk through your current infrastructure and edge cases before I finalize the architecture - I don't start builds where channel limits aren't mapped upfront.

@mayankinnovative

Hi, As per my understanding: You need a unified conversational AI engine embedded on your website and extended across WhatsApp, Voice, Email, SMS, and RCS. The bot should handle sales, support, marketing, and post-sales journeys with seamless multi-channel continuity, along with analytics, easy training, and live agent handoff. Implementation approach: I will build a centralized conversational engine (using LangChain/Dialogflow + OpenAI/Claude) with a single logic layer powering all channels. The web bot will act as the core, while integrations will be done via APIs (WhatsApp Business, Twilio/Vonage for voice & SMS, SMTP/IMAP for email). A backend (Node.js/Python) will manage sessions, user context, and routing across channels. I’ll design modular conversation flows for sales, support, and campaigns, with fallback and human handoff. A custom dashboard will allow you to edit flows, train intents, and view analytics without code. The system will be scalable, API-driven, and well-documented with a walkthrough. A few quick questions: 1. Which providers do you prefer for WhatsApp and Voice (Twilio, Meta, etc.)? 2. Do you already have CRM/order systems to integrate? 3. Expected user volume across channels initially?

@nadeemkhan7

Hello, I went through your project description and it seems like that I am a great fit for this job. I have an expert team with many years of experience in PHP, Android, Asterisk PBX, VoIP, Chatbot, API Integration, AI Chatbot Development, Conversational AI, Vertex AI. Lets connect in chat so that we discuss further. Thank You

@amaank66

You don’t need multiple bots—you need one unified conversational engine that orchestrates every channel without fragmentation. I’ll build this as a central intelligence layer, with Web as the primary interface and all other channels connected seamlessly. My approach: • Core Engine: Node.js (modular, scalable) with shared conversation logic • Channels: Web widget + WhatsApp Business API + Twilio/Vonage (voice & SMS/RCS) + Email (SMTP/IMAP) • Architecture: Single brain → multi-channel adapters (ensures consistency across touchpoints) Conversation design will cover: • Sales journeys (discovery → conversion) • Post-sales support (orders, issues) • General FAQs + smart routing • Outbound campaigns (nudges, reminders) • Human handoff with context preservation You’ll also get a clean admin dashboard to: • Edit flows/messages • Train intents without code • Track analytics across channels Everything will be documented, tested, and delivered with a Loom walkthrough for full control post-handover. I’ve worked on API-heavy, real-time systems and understand how to unify voice + chat into one reliable experience. Timeline: 10–14 days for MVP deployment. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@Hemantt841

Creating a unified conversational engine that seamlessly integrates across web, voice, WhatsApp, email, SMS, and RCS channels addresses the critical need for consistent and efficient customer engagement. This project demands a sophisticated solution that not only drives sales and supports post-sales inquiries but also manages marketing outreach and general support—all within a single codebase. The challenge lies in designing intuitive conversation flows that can adapt fluidly across channels while maintaining brand voice and operational simplicity. Leveraging expertise in PHP, VoIP technologies including Asterisk PBX, and conversational AI frameworks such as Vertex AI, the solution will be architected to embed smoothly on your website and connect with the necessary APIs for WhatsApp Business, voice gateways like Twilio or Vonage, SMTP/IMAP for email, and SMS/RCS providers. The conversation design will encompass end-to-end customer journeys, incorporating dynamic hand-offs to live agents when complexity arises. A user-friendly dashboard will empower your team to adjust messages, analyze interaction data, and train new intents without code changes, ensuring agility in response to evolving customer needs. Commitment to delivering clean, well-documented code paired with comprehensive onboarding materials—including a detailed walkthrough—will ensure your team’s autonomy post-deployment. Timely delivery aligned with your budget parameters will be prioritized, with transparent communication throughout the project lifecycle. Let’s discuss how to tailor this omnichannel bot to maximize your customer engagement and operational efficiency.

@andersond73

Hello, As I am a senior conversational AI engineer, I can build this omnichannel bot platform in 14–21 days for ₹75,000. The hard part here is not making one chatbot, but keeping one conversation engine consistent across Web, WhatsApp, Voice, Email, SMS, and RCS without duplicating flows or breaking handoff logic. You need sales, post-sales support, general support, and outbound campaigns all from one codebase, plus analytics and easy intent training. A good technical structure here is: core NLU + channel adapters + campaign manager + agent handoff service. That keeps the logic reusable instead of rewriting flows per channel. I also have hands-on experience with email marketing systems and large-scale email operations, which is useful for the outbound and support side of this project. Thank you.

@drtaimoor

Hello, I can help you build a unified omnichannel conversational system that runs from a single codebase and seamlessly serves Web, WhatsApp, Voice, Email, SMS, and RCS. I’ve worked on AI-powered chat + voice systems with multi-channel integrations, and my approach is to create a central conversation engine that handles all logic, while each channel connects via APIs. Proposed Architecture: • Core Engine: LLM-based (OpenAI/Claude) with structured intent + context handling • Web Bot: Embedded widget (React/JS) as the primary interface • Channel Integrations: – WhatsApp Business API – Voice (Twilio/Vonage with STT/TTS pipeline) – Email (SMTP/IMAP automation) – SMS/RCS providers • Flows: Sales funnel, product discovery, order tracking, support, and marketing campaigns • Human Handoff: Smooth escalation to live agents • Dashboard: Simple UI to manage intents, edit flows, monitor analytics, and retrain responses The system will be modular, scalable, and easy to maintain, with clean documentation and a walkthrough for your team. I focus on delivering real, production-ready systems with strong UX and reliability, not just basic bots. Happy to share relevant work (including voice + WhatsApp integrations) and start immediately

@mudassirs52

✔ I build omnichannel conversational systems that feel like one brain — across web, voice, and messaging. ✔ Workflow Diagram Conversation Design ⟶⟶ Core Bot Engine (LLM + Logic) ⟶⟶ Channel Integrations ⟶⟶ Unified API Layer ⟶⟶ Dashboard & Training Panel ⟶⟶ Testing (Multi-Channel) ⟶⟶ Deployment & Handover Key Highlights ✔ Single conversational engine — one logic layer powering Web, WhatsApp, Voice, Email, SMS & RCS. ✔ Web-first deployment — embeddable chat widget optimized for conversion and support. ✔ WhatsApp Business API integration — templates, sessions, and automation flows. ✔ Voice integration — Twilio/Vonage/Asterisk with speech-to-text + text-to-speech pipelines. ✔ Email & SMS automation — SMTP/IMAP + SMS/RCS providers for full communication coverage. ✔ End-to-end journey handling — sales, support, order tracking, and marketing nudges. ✔ Smart handoff system — seamless transfer to human agents when needed. ✔ Admin dashboard — manage flows, train intents, edit responses, and track analytics easily. ✔ Scalable backend — modular architecture for future AI upgrades or CRM integrations. ✔ Clean documentation + walkthrough — easy maintenance post handover. Best Regards, Asad AI Systems Developer | Omnichannel Chatbot Architect | Voice & Messaging Automation

@hezarfen4

Hi there, I read your brief carefully and I can deliver exactly what you need: a single conversational engine handling Sales, Post-sales, Support and Marketing across Web, WhatsApp, Voice, Email, SMS and RCS from one codebase. I have hands-on experience building AI chatbot systems with Twilio, WhatsApp Business API and voice gateways. I recently shipped a production ChatGPT Bridge with context injection and memory. My architecture: Node.js/TypeScript core with Claude/Vertex AI, modular channel adapters, embeddable web widget and admin dashboard. 10-day delivery. I am also a licensed psychologist which helps me design conversational flows that feel natural. I can start immediately. Best regards, Onour Impram (Hezarfen)