Customer Support Chatbot Development -- 2

@ominfowave

Hi there, We are excited about the opportunity to work with you on developing your website. With strong experience in both front-end and back-end development, We can build a robust, scalable, and user-friendly platform that supports all the core features you’re looking for and tailored as per your requirement. Why Us? • 10+ years of experience in full-stack development • Built several website in all kind of domain platforms (portfolio available on request) • Strong grip on user flows, admin control, and clean UI/UX design • Expertise in PHP, JavaScript, MySQL, HTML/CSS, Laravel and modern frameworks Timeline & Estimate: Depending on final scope after the detail discussion with you We’d love to discuss your vision further and share relevant portfolio examples. Let’s build something powerful together! Looking forward to your response. Best regards, Vishal Nasit

@rahuliitm69

Hi, I can develop an AI-powered customer support chatbot that delivers accurate, natural-language responses from your FAQs, product manuals, and real-time order-tracking API while providing seamless escalation to live agents with full conversation context. I’ve already built similar AI customer-service platforms featuring knowledge-base search, intent detection, webhook/API integrations, conversation analytics, and human handoff workflows. Based on your requirements, I’d recommend a scalable architecture using Dialogflow CX or Rasa (depending on licensing preferences), hosted on AWS/GCP with a portable API-first design that can later support mobile apps and Facebook Messenger. Development approach: • Requirements & architecture planning • Knowledge base ingestion and AI response setup • Order-status API integration with secure authentication • Live-agent handoff implementation • Analytics dashboard and conversation logging • Website deployment, testing, and optimization • Documentation, Git handoff, and walkthrough session Deliverables will include source code, configuration files, deployment setup, admin guide, and a one-hour handoff call. A couple of questions: Approximately how many FAQ/manual documents will be included in the initial knowledge base? Do you already have a preferred live-agent platform (Zendesk, Intercom, Freshdesk, etc.) for escalation? Looking forward to discussing the timeline and framework recommendation. Best regards

@seefattechnologi

I will build a knowledge-driven bot with live handoff and order-tracking support. I am an experienced chatbot developer skilled in NLP and API integrations.

@nikhilgarg96

Hi As a seasoned developer with flair in backend and frontend development, I understand the complexities of creating a powerful chatbot. My wide-ranging technical expertise and knack for problem-solving make me an ideal candidate to craft a sophisticated chatbot for your customer support needs. Additionally, my proficiency in employing AI technologies, such as Natural Language Processing (NLP), will enable me to develop a chatbot that distinguishes misspellings, informal language, and varying phrasing effectively. Notably, one of our fundamental aims is to create easy-to-update systems. For your project, this translates into a knowledge base that can be maintained without requiring any coding endeavors. Our demonstrable experience in integrating RESTful APIs securely will prove valuable too, effectively incorporating your order-tracking endpoints for real-time shipping and billing queries. Thanks....

@Friends4it

Hi, I've read your brief — automate first-line customer care with an AI chatbot that answers natural-language questions accurately + friendly, pulling from your existing FAQ, product manuals and order-status API, and escalating when it can't solve an issue. This is squarely our wheelhouse at Global IT Vision (our FOXAF CRM is AI-first). My approach: - A RAG chatbot grounded in YOUR content (FAQ + manuals) so answers are accurate, not hallucinated, with citations/links where useful. - Live order-status answers via your order API, and a clean escalation/handoff to a human (or ticket) when it can't resolve. - Deployed as a site widget (or your channel of choice), with logging/analytics on what's asked + deflection rate. I've posted scope questions on the board. Could we do a quick call to confirm the AI engine + your sources/API? — Muhammad Idrees / Global IT Vision Pvt. Ltd

@DeveloperStation

Hi there, We’ve developed multiple AI-powered chatbots that integrate with REST APIs and use NLP to extract answers from FAQs and product manuals. One of our recent projects involved creating a customer support chatbot for a large e-commerce client, where we implemented features like intent recognition, live agent handoff, and conversation logging. For your project, I recommend using Rasa, as it allows us to build a fully customizable solution without the limitations of third-party services. We can also integrate with tools like Google Dialogflow or Microsoft LUIS for advanced intent recognition. Let’s schedule a 10-minute call to discuss your requirements in more detail and see if I’m the right fit for this exciting project. Best, Adil

@doomshellsl

Hello, Your project is a great fit for our AI chatbot and NLP expertise. We understand you need a smart support chatbot that can answer customer queries, use your FAQs and APIs, and smoothly hand off to live agents when required. We can help with: ✔ AI-powered chatbot development (Dialogflow / Rasa / custom NLP) ✔ Intent detection with typo-tolerant natural language understanding ✔ FAQ + document-based knowledge base integration ✔ REST API integration for real-time order tracking & billing ✔ Human handoff with full conversation context preservation ✔ Web deployment with future-ready architecture for mobile & Messenger ✔ Admin dashboard for chat logs, training, and analytics We’re experienced with: ✔ AI chatbot systems for customer support automation ✔ NLP pipelines and intent/entity recognition models ✔ REST API integration and scalable backend design ✔ Cloud deployment (AWS / GCP) with production-ready setups Deliverables: ✔ Fully working chatbot deployed on your cloud ✔ Source code with clean Git history ✔ Admin guide for updating intents and responses ✔ Analytics + logging dashboard ✔ Live handoff + one-hour training session Quick questions: 1. Do you prefer a platform-based solution (Dialogflow CX) or a fully custom NLP chatbot for more control? 2. What level of order API security/authentication is required (token, OAuth, etc.)? Regards Doomshell Software Pvt Ltd (20+ years experience)

@wpexpert0141

Hi, I’ve reviewed the project details and, before jumping to solutions, I’d like to understand a few things about how you expect the final outcome to work in practice. One thing I’ve learned from similar projects is that the success of a project usually depends more on understanding the workflow and expectations correctly than on the actual implementation. I have some initial thoughts and a few questions that may help identify potential challenges early and avoid unnecessary revisions later. If you're available for a quick discussion, I'd be happy to share them. Looking forward to hearing more about your project. Shiv,

@devendrathakur12

Hello, I built many large scale AI chatbots and customer support automation platforms similar before and I would love if I get the chance to work on your project. I can build this using Rasa or LangChain with OpenAI, FastAPI, vector databases, and REST API integrations, ensuring accurate intent detection, seamless order tracking, live agent handoff, and an easy to manage knowledge base without code changes. The architecture will also be portable for future mobile or Messenger integration. One question I have is whether the live agent handoff should integrate with your existing CRM or operate through a standalone support dashboard initially? Can we connect over a chat to discuss more about the project? Best regards, Dev Singh

@InterconnectBPO

I specialize in developing AI chatbots to streamline customer support processes. By leveraging advanced natural language understanding and seamless integration with your existing systems, our team can create a chatbot that enhances user experience and boosts operational efficiency. I noticed your emphasis on natural-language understanding, secure API integration, and detailed conversation logs. Rest assured, we have extensive experience in delivering these key features. Plus, we have 20+ 5-star reviews on similar projects! The worst that can happen is you walk away with a free consultation! Regards, InterconnectBPO

@kishanbwts

I’ve built chatbots that pull answers from FAQs and integrate smoothly with order-tracking APIs, so I know how important accurate intent detection and handing off to agents without losing context is. For natural language understanding that handles typos and informal wording, Dialogflow CX or Rasa both work well—and I can advise on which fits your needs and budget better once I see your documents. To keep the knowledge base easy for your team, I’ll set up an admin dashboard where updates don’t require code changes. For real-time shipping or billing info, I’ll securely connect your REST order-status API, making sure calls are efficient and error-handled. Regarding portability, I’ll design the chatbot backend with a clear API and modular front end, so deploying later to mobile or Messenger will be straightforward. Full conversation logs will be stored and viewable in an admin dashboard for future training and analytics. Do you have any preferred cloud between AWS and GCP? Also, do you want the logs to include sensitive customer data, or should they be anonymized for privacy? I’m ready to start once we align on the platform and timeline so we can build your first-line support bot quickly and reliably.

@vishal1145

I've built 4 production chatbots that handle 50K+ conversations monthly without breaking - two for SaaS support and two for e-commerce order tracking. Your handoff-to-agent requirement is where most teams fail because context gets lost between systems. Quick question - what's your current support ticket volume, and do you already have a live-chat platform (Intercom, Zendesk, Freshdesk) that we need to integrate with? Also, does your order-tracking API require OAuth or just API keys? Here's the architectural approach: - RASA OPEN SOURCE: Build custom NLU pipeline with fuzzy matching for typos and slang, train on your FAQ corpus, and deploy containerized on AWS ECS for auto-scaling during traffic spikes. - REST API INTEGRATION: Create webhook actions that query your order endpoint in real-time, handle rate limits with exponential backoff, and return formatted shipping/billing data inside chat bubbles. - KNOWLEDGE BASE CMS: Build a simple React admin panel where your team edits intents and responses in plain English - changes go live in under 60 seconds without redeploying the bot. - CONVERSATION HANDOFF: Implement session persistence using Redis so when escalating to a human agent, the full chat history transfers instantly with zero context loss. - ANALYTICS DASHBOARD: Log every conversation to PostgreSQL with sentiment scoring and intent confidence metrics so you can identify knowledge gaps and retrain the model monthly. I don't take on chatbot projects where the knowledge base isn't well-defined upfront. Let's schedule a 20-minute call to review your FAQ structure and API docs before locking in the timeline - I need to see edge cases like partial order numbers or multi-step queries.

@AZTURK1

Hi there, I will build an NLU-driven web chatbot (Dialogflow CX) that connects securely to your REST order-tracking endpoint and preserves conversation context for agent handoff. - Deploy Dialogflow CX agent to your AWS account with secure webhook to the REST order-tracking endpoint and context-aware session handling - Deliver Git repository with source, intents/entities/config, an easy-to-update knowledge-base editor, admin guide, and one-hour walkthrough - Staged deployment with backup checkpoint and post-deploy validation Skills: ✅ Dialogflow CX ✅ AWS ✅ REST API integration ✅ NLU intent detection and fuzzy matching ✅ Cloud deployment & monitoring Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 Available to start immediately. I can adapt to your workflow — would you prefer deployment into your existing AWS account, or should I provision a separate, production-isolated AWS project? $35/hr , 1 week to first milestone.

@iwebphpdeveloper

Hello, I can build an AI-powered customer support chatbot that delivers accurate answers, integrates with your existing systems, and scales across future channels. With 15+ years of development experience, I specialize in AI automation, API integrations, and conversational workflows. I can implement natural-language understanding, knowledge-base management, secure order-status lookups via your REST API, conversation analytics, and seamless live-agent handoff with full context retention. The solution will be hosted in your AWS or GCP account, include Git-based source code, clear documentation, an admin guide for updating content, and a hand-off session. I’d be happy to discuss the best platform, licensing costs, timeline, and share relevant experience in a one-to-one live chat. Looking forward to collaborating. Regards, Abhijeet

@SachinBhatt

We can help you by implementing this RAG solution which can be hosted on a website or ported to mobile app or messenger.

@letswork92

As businesses look to enhance customer experience, automating first-line support with an AI-powered chatbot is a strategic move. Your requirement for a system that can understand natural language, including informal phrasing and spelling mistakes, is essential for effective engagement. With over 12 years of experience in developing robust solutions using technologies like Node.js and AWS, I propose utilizing Dialogflow CX or Rasa to create a secure and flexible chatbot. This will ensure real-time integration with your order-tracking API while maintaining context during handoffs to live agents. I’ll provide you with a comprehensive knowledge base management system, enabling your staff to update content effortlessly. The deliverables will include a fully functional chatbot hosted on your preferred cloud platform and an admin guide for ongoing management. To better tailor the solution, could you share more about the types of queries you expect from customers? This will help in fine-tuning the bot's capabilities to meet your needs effectively.

@alizain721

The real risk for this project is not building an NLU model but preserving context across handoffs and keeping the knowledge base current so answers never drift from your product manuals or order-status data. I faced that exact tension while building API-backed AI services where live handoffs and admin editing were critical, and I will prioritize a flow that never loses the customer's context. Approach: I recommend Rasa Open Source for NLU and dialog management with a FastAPI webhook that calls your order-tracking REST endpoint. Rasa handles informal phrasing and misspellings with training and lookup tables. The FastAPI layer will translate order requests securely to your API with token-based auth. Conversation logs will be stored in PostgreSQL and exposed via a small admin dashboard for search, export, and analytics. The knowledge base will be editable from that dashboard so staff can update intents, entities, and response templates without code. The web chat widget will support rich text and quick-reply buttons. If you prefer a managed option like Dialogflow CX, I can implement that instead and will provide estimated licensing costs after you confirm expected traffic. Deliverables matched to yours: 1) Deployed chatbot in your AWS or GCP account 2) Source code and config in Git with clear commits 3) Admin guide for intents, entities, and responses 4) One hour walkthrough call. Relevant project: CrowdAxis used FastAPI endpoints, admin tooling, and ETL feeds to keep models and display content current. That experience maps directly to integrating your order-status API and building an editable KB. Rate: $20/hr. Timeline for an MVP that covers top FAQs, API integration, web widget, and admin UI is 2–4 weeks assuming you supply KB and API docs. Which cloud do you prefer, and can you share the knowledge base, API documentation, and sample conversation flows so I can produce a tight first-week plan?

@markupdudes

Hi, I understand your goal to automate customer care using an AI-powered chatbot that manages natural language queries and seamlessly transfers to live agents when needed. I have experience with chatbot integration and REST API development, ensuring secure real-time order tracking. My approach includes setting up a knowledge base that your staff can easily update without coding, plus a dashboard for conversation analytics and training. I will deploy the bot on your website initially with architecture that supports future extensions like mobile or Facebook Messenger deployment. Let's finalize the platform choice and timeline for delivery, then I'll walk through the solution with your team. What are the key customer issues you want the chatbot to prioritize resolving? Thanks,

@DigitalNightOwl8

Hey Mate , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in AI Chatbot Development, Chatbot Integration, iPhone, Natural Language Processing, Java, PHP, REST API and Python. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Please keep me informed