Build "Chatbot & AI" E-Commerce Platform

@infowider11

**** Senior Dev Team Proposal – “Chatbot & AI” Multi-Tenant SaaS Platform (Phase 1) **** I will architect and deliver a scalable, AI-first multi-tenant SaaS platform built on PHP (Clean Architecture + CQRS) and Azure (App Service, Service Bus, Functions, Key Vault, Cosmos DB), ensuring strict tenant isolation, optimized partitioning, and production-grade security with PII masking before any LLM interaction. Phase 1 will implement the Omnichannel Messaging Gateway (Gupshup WhatsApp, Facebook, Instagram, WebChat) with session continuity, proactive notifications, real-time agent takeover via SignalR, and a centralized SaaS admin portal with role-based access (Manager / Representative) and live monitoring. Let’s chat… Thanks

@irsolutions

With over 10 years of experience in web and mobile development, specializing in AI, Chatbot, and E-Commerce platforms, I understand the need for a robust, multi-tenant architecture and omnichannel communication for your "Chatbot & AI" E-Commerce Platform project. In past projects, I have successfully delivered complex solutions in the fintech and eCommerce domains, leveraging AI intelligence and multi-tenant admin structures to drive seamless customer experiences. My expertise in .NET, Azure, and AI technologies align perfectly with your project requirements, ensuring a scalable and secure platform. I am excited to take on this challenge and deliver a cutting-edge solution for your AI-centric SaaS platform. Let's collaborate to bring your vision to life and create a transformative E-Commerce OS. Reach out to me to discuss how we can work together to achieve your project goals.

@leadconcept

Greetings, Do you want the multi-tenant admin dashboard and agent interface fully functional in phase one, or focus first on the omnichannel messaging gateway and AI core? Should the e-commerce connectors for TSoft and Shopify be included in MVP or handled in a later phase? Our team has extensive experience building AI-driven SaaS platforms, multi-tenant architectures on Azure, real-time chat with SignalR, and secure integration with e-commerce systems. We can handle the full stack from backend (.NET 8+ Core, CQRS) to AI (Azure OpenAI, RAG, sentiment analysis) and frontend dashboards. We provide 5 months FREE support and long-term collaboration guarantee. For quick response and one-on-one communication, you may click on the chat button, as we are online most of the time. FYI, current bid amount is placeholder to submit the proposal. Look forward to hearing from you thru chat. Regards, Yasir LEADconcept PS: Let me know if you want to see our team past work to determine our skills/expertise or past customer's references.

@n2rtechnologies

Hello, I am excited about the opportunity to collaborate on your "Chatbot & AI" e-commerce platform. With extensive experience in developing SaaS solutions, I can help you define a clear project vision and translate it into a robust, user-friendly platform that meets your business goals. In Phase 1, I will focus on creating a seamless user experience, integrating advanced chatbot functionalities, and ensuring your platform is scalable for future enhancements. My approach emphasizes meticulous planning and execution, ensuring that we not only meet your initial requirements but also lay a solid foundation for future phases. I am committed to delivering a high-quality product that aligns with your vision and exceeds your expectations. Let's discuss how we can bring your project to life. Regards, Nurul Hasan

@WhizPool

Hello, Your vision of building an AI-First, multi-tenant E-commerce OS aligns perfectly with our expertise in .NET 8 (Clean Architecture, CQRS), Azure (App Services, Functions, Cosmos DB, Service Bus), and Azure OpenAI with RAG and sentiment analysis. We have built scalable SaaS platforms with strict tenant isolation and secure LLM integrations including PII masking. A few quick questions: Q 1: Will the 1500 Q&A dataset be shared across tenants or customized per client? Q 2: Should sentiment-based escalation trigger automated Service Bus workflows? Q 3: Is Azure infrastructure already provisioned, or should we design it from scratch? Q 4: Do you require CI/CD pipelines from day one? We have a complete in-house team from UI/UX design to senior .NET, Azure, AI engineers, and QA — ensuring structured delivery and proper documentation. With 100+ five-star reviews, our clients confidently guarantee our honesty, transparency, and commitment. Price and timeline are placeholders and can be finalized after technical alignment. We can also share similar AI/SaaS projects. Let’s schedule a quick call to discuss architecture and next steps. Regards, Zeeshan Whizpool

@sunainawbst

Azure OpenAI | Cosmos DB Multi-Tenant | Omnichannel Messaging | Clean Architecture + CQRS Hello, This is not a chatbot project — it’s a multi-tenant AI-first SaaS platform, and it requires strong architecture from day one. We can execute Phase 1 with a scalable foundation that supports future ERP/CRM expansion. Technical Execution Plan Architecture • Azure App Service + Service Bus • Azure Functions (Agnostic Connector Layer) • Cosmos DB with strict tenant partitioning strategy • Key Vault for secrets & API security Tenant isolation will be enforced via partition keys + logical separation to prevent cross-tenant leakage. Omnichannel Gateway • Gupshup (WhatsApp) webhook ingestion • Facebook + Instagram integration • Custom WebChat • Session continuity via centralized conversation state store • Proactive messaging via event-driven Service Bus AI Core (“The Brain”) • Azure OpenAI (GPT-4o / o1) • 1500 QA pairs embedded for RAG-based FAQ retrieval • Turkish NLP fine-tuned intent layer • Real-time sentiment scoring • Auto-prioritization for “angry” customers • 3-sentence AI-generated handover summary All PII (TCKN, phone, etc.) masked before LLM calls. Admin & Agent System • Multi-tenant SaaS portal • SignalR real-time agent takeover • Role-based access (Manager / Rep) • Live assignment + monitoring Includes documentation, daily updates, and full IP transfer. If aligned, we can begin with DB partition strategy and messaging ingress immediate Thanks! Purnima

@kamran2012

Interesting project, I will build the Phase 1 MVP on .NET 8 with Clean Architecture and CQRS, covering the omnichannel gateway (WhatsApp via Gupshup, Facebook, Instagram, WebChat with session continuity), the AI core with sentiment analysis and agent handover summaries, the multi-tenant admin dashboard with SignalR live takeover, and the TSoft/Shopify connector layer on Azure Functions. For the 1500 Q&A knowledge base, I will use Azure Cognitive Search with vector embeddings for the RAG pipeline rather than fine-tuning. This lets you update or expand the knowledge base without retraining, which matters as your catalog and support scenarios grow. Questions: 1) Is the 1500 Q&A set in Turkish, English, or both? This affects embedding model selection. 2) Do you have the Gupshup and Azure accounts already provisioned? 3) Will the MVP serve one pilot tenant or multiple tenants from launch? Looking forward to talking through the details. Kamran

@VirasatSolutions

Hello, I’m excited about your vision to build an AI-First E-commerce OS and would love to support Phase 1 of your Chatbot & AI SaaS platform with a robust, Azure-native architecture. What I’ll Deliver: • Omnichannel messaging (WhatsApp via Gupshup, Facebook, Instagram, WebChat) with true session continuity across channels • Azure OpenAI-powered AI Core (GPT-4o/o1) with RAG over your 1500 Q&A dataset, real-time sentiment analysis, and 3-sentence AI handover summaries • Multi-tenant SaaS architecture using .NET 8 (Clean Architecture + CQRS) with strict Cosmos DB tenant isolation • Real-time agent dashboard with SignalR, auto-assignment logic, and role-based access (Manager/Representative) • Agnostic Azure Functions connector layer for TSoft & Shopify (order tracking, stock lookup, returns/exchanges) • PII masking (TCKN, phone, etc.) before LLM calls, Azure Key Vault integration, and Service Bus-driven workflows Why choose me? • Strong experience building multi-tenant SaaS systems on Azure with .NET Core • Hands-on implementation of GPT-powered RAG, AI orchestration, and sentiment routing • Deep understanding of e-commerce workflows and event-driven architectures • Committed to clean documentation (English), daily progress updates, and full code/IP handover Let’s schedule a discussion to align on milestones and execution strategy. I’m ready to begin immediately and deliver within your defined timeline. Best regards,

@Microlent

Hello, this aligns perfectly with large-scale, AI-first SaaS architecture. You are building a multi-tenant conversational operating system, not a simple chatbot, and that requires disciplined system design from day one. Execution Plan Week 1 – Foundation • .NET 8 Core with Clean Architecture and CQRS • Cosmos DB multi-tenant schema with optimized partitioning by TenantId • Secure webhook ingress for Gupshup • Azure Service Bus for asynchronous processing • PII masking middleware before Azure OpenAI calls Weeks 2–3 – AI Core • RAG pipeline using Azure OpenAI with vector indexing • Integration of your 1500 curated Q&A dataset • Turkish NLP optimization for intent accuracy • Real-time sentiment detection with automatic priority escalation Weeks 4–5 – Omnichannel & Connectors • Session continuity across WebChat, WhatsApp, Instagram, Facebook • SignalR-based live agent takeover system • Azure Functions agnostic connector layer • Shopify and TSoft integrations for order tracking, stock checks, returns Security and isolation will be enforced through strict tenant-level data encapsulation, Key Vault secret management, and clean API boundaries. I work with structured milestone delivery and daily progress reporting through professional project tools. All documentation will be delivered in English, and full IP transfer is standard. Let’s open the chat. I can outline the Cosmos DB partition strategy and AI orchestration layer in detail before kickoff. Best, Jenifer

@corpmember29

Hello, >>>> Multi languages (English and Turkey )<<<< I have 10+ years of experience in full-stack and AI SaaS development, including multi-tenant architectures, omnichannel messaging, and advanced RAG/LLM integrations. I can deliver Phase 1 of your Chatbot & AI platform with: Omnichannel Messaging Gateway with session continuity, proactive notifications, and WhatsApp/Facebook/Instagram/WebChat integration. AI Core integrating your 1500 Q&A dataset, sentiment analysis, and automated handover summaries for live agents. Multi-Tenant Admin & Dashboard with role-based access, real-time chat monitoring, and strict tenant isolation in Azure Cosmos DB. Agnostic E-commerce Connectors for TSoft and Shopify with live order tracking, stock inquiries, and automated returns. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, we will work with Agile methodology, and I will assist from zero to deployment. The solution will follow .NET 8+ clean architecture, CQRS, Azure OpenAI GPT-4, and full PII masking, fully documented in English. I eagerly await your positive response. Thanks.

@diektech

Hi, I’m Elias from Miami. I’ve reviewed your vision carefully — this isn’t a chatbot project, it’s a multi-tenant AI-first SaaS platform with strict tenant isolation, omnichannel continuity, and enterprise-grade Azure architecture from day one. I’ve worked on multi-tenant SaaS systems using Clean Architecture + CQRS, real-time messaging, and Azure-based AI workflows, where isolation, event-driven design, and operational clarity were critical. I’d structure Phase 1 around a clean .NET 8 Core backend with strict tenant partitioning in Cosmos DB, channel webhooks normalized into a unified Conversation domain, and session persistence via a centralized context service. AI services (RAG over your 1500 Q&A set + sentiment scoring + handover summarization) would be abstracted behind an AI orchestration layer, with PII masking before LLM calls. SignalR would power real-time agent takeover, while Azure Functions would handle agnostic connectors (Shopify/TSoft) and event-driven notifications via Service Bus. Security, partition strategy, and observability (App Insights) would be baked in early to avoid refactoring later. I have a few clarification points: Q1. Will each tenant have a dedicated Cosmos container, or do you prefer shared containers with strict partition keys? Q2. Should AI fine-tuning be tenant-specific over time, or shared across all instances initially? Q3. Is human-agent routing rule-based only, or should sentiment + SLA priority scoring influence assignment?

@Julian29

building multi-tenant SaaS platforms, AI chatbots, and real-time customer service systems, and I confidently understand your requirement: to deliver a scalable, AI-first e-commerce platform with omnichannel messaging, advanced RAG-based intelligence, and full tenant isolation. -->> Omnichannel messaging (WhatsApp, Facebook, Instagram, WebChat) with session continuity -->> AI engine with sentiment analysis, RAG FAQ, and handover summaries -->> Multi-tenant admin dashboard with real-time monitoring, agent takeover, and role-based access -->> Agnostic integration layer for Shopify/TSoft APIs and automated order/stock handling -->> Azure-based architecture (.NET 8+, Cosmos DB, Functions, Service Bus, OpenAI GPT integration) Our approach ensures clean architecture, secure PII handling, efficient multi-tenant isolation, and an agile workflow for incremental delivery. successfully implement this project from start-to-finish. Let's come together and create a platform that not only propels your business but also stands out prominently within the marketplace. Thanks & regards Julian >>>>>>> We'll share our portfolio in Chat. Let's talk further speak over the freelancer call or chat. <<<<<<

@Rekhathakur

As a senior AI developer at WellSpring Infotech, I am thrilled by the opportunity of creating game-changing solutions like your "AI-First" E-commerce OS. With over a decade of experience delivering high-quality applications in various industries such as e-commerce and fintech, we have the exact digital toolbox you need to bring your vision to life. Our specialist expertise in .NET, Azure, and AI technologies (including Turkish NLP) aligns perfectly with your technical requirements. We have stealthy backend skills that fit the clean architecture and CQRS style needed for your platform. Moreover, having honed our database partitioning abilities with Azure Cosmos DB, we guarantee secure data isolation at the desired level to prevent leakage between tenants. What sets us apart is our in-depth understanding of your project's intricacies. The founders' entrepreneurial background enables us to foresee potential roadblocks and provide preemptive solutions. Thanks.....

@mrabdullahsaigal

Hello, We can deliver Phase 1 of your AI-First E-commerce OS with a scalable, multi-tenant Azure architecture. Our team specializes in .NET 8 (Clean Architecture, CQRS), Azure App Services, Functions, Service Bus, Key Vault, and Cosmos DB with optimized partitioning for strict tenant isolation. We have hands-on experience with Azure OpenAI (GPT-4o/o1), RAG systems, intent tuning, sentiment analysis, and AI handover summaries. Execution Plan: Week 1: Multi-tenant DB design, auth/roles, Gupshup webhook ingress. Week 2–3: AI Core (1500 QA integration), RAG, Turkish NLP tuning, real-time sentiment detection, auto-prioritization. Week 4–5: Agnostic connector layer (Azure Functions), Shopify & TSoft integrations (orders, stock, returns), Admin dashboard, SignalR-based live agent takeover. We will implement omnichannel session continuity (WebChat, WhatsApp, IG, FB), proactive notifications, and PII masking before LLM processing. All source code and IP will be transferred upon completion. Documentation will be in English with daily structured progress updates. Let’s align on final scope and timelines.

@Solutionzhere

Hey team, Love the AI-first e-com OS vision. SolutionzHere built a similar multi-tenant Azure chatbot SaaS (WhatsApp/FB + GPT-4o, Shopify connectors) for a retail chain, handling 10K+ sessions/mo with zero data leaks. Phase 1 Plan: .NET 8 CQRS backend, Cosmos DB partitioning, Azure OpenAI for Turkish NLP/RAG/sentiment, Gupshup webhooks, SignalR dashboard, agnostic Functions for TSoft/Shopify. PII masking locked in. Timeline: 5 weeks (matches yours). Budget: $6,200 (slightly over cap but spot-on for full-stack Azure AI expertise + multi-tenant complexity). Code/docs ours to own. Quick Q: What's the expected monthly active tenants/users for initial scaling? — SolutionzHere AI

@codefusion53

Hi I can lead Phase 1 of your AI first e commerce OS with a production grade multi tenant architecture on Azure using .NET 8 Clean Architecture and CQRS. I have experience building SaaS platforms with strict tenant isolation, real time messaging, and AI driven workflows integrated into operational systems. For the Omnichannel Gateway, I will implement channel adapters for Gupshup WhatsApp, Facebook, Instagram, and WebChat, with centralized session management and cross channel context persistence. Proactive notifications will be event driven via Azure Service Bus. The AI Core will integrate Azure OpenAI with RAG over your 1500 QA set, real time sentiment analysis, and automated 3 sentence handover summaries for agents. The admin portal will support tenant isolation using optimized Cosmos DB partitioning, role based access control, and real time agent intervention via SignalR. The agnostic connector layer will use Azure Functions to integrate TSoft and Shopify APIs for order tracking, stock lookup, and returns. PII masking and Key Vault based secret management will be enforced throughout. Best, Justin

@DIBS80

Microsoft Certified Professional .Net, C# Developer, 15+ years of experience Hi, I’m a senior .NET 8 / Azure architect with hands-on experience building multi-tenant SaaS platforms, omnichannel messaging systems, and AI-driven workflows using Clean Architecture and CQRS. I can help deliver your Phase-1 MVP including channel integrations, SignalR live agent takeover, Azure OpenAI RAG pipelines, and Cosmos DB tenant isolation. My approach focuses on scalable cloud-native design, secure PII masking, and clear separation between AI orchestration, messaging gateway, and connector layers. I’m comfortable working with daily progress reporting, strong documentation standards, and milestone-based delivery aligned with your roadmap. I’m ready to discuss next steps and start work.

@mughiraaa

Hello, I have reviewed the details of your project. i will design the multi-tenant database in azure cosmos db to ensure each client’s data stays isolated and secure, using optimized partition keys for scalability. the backend will be developed in .net 8 core with clean architecture and cqrs patterns, enabling clear separation of commands, queries, and business logic. i will integrate gupshup for whatsapp, facebook, instagram, and a custom webchat, adding session continuity so users can switch channels without losing context. the ai layer will use azure openai gpt-4o/o1 fine-tuned with your 1500 qa pairs, including sentiment analysis to flag urgent cases and provide a concise handover summary when human agents intervene. azure functions will connect to tsoft and shopify to track orders, stock, and returns in real time. the admin dashboard will allow role-based access for managers and agents, monitoring live conversations through signalr. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@usamae

Built several multi-tenant SaaS platforms so the architecture here is familiar. The omnichannel gateway with session continuity is the interesting piece - handling WhatsApp (Gupshup), Facebook, Instagram, and WebChat with context persisted across channels needs a solid session store and channel abstraction layer, which I have experience with. For the AI brain, fine-tuning on 1500 Q&A pairs + RAG + real-time sentiment analysis is straightforward. The handover summary on agent takeover is a nice UX touch - I'd trigger that as a background LLM call with the conversation history on intervention. React + .NET Core + Azure is a stack I'm comfortable with. Happy to walk through the multi-tenant architecture approach first so you can confirm fit before committing. - Usama