AI Agent on the website

Budget: 26997 UAH Deadline: 30 days

Good day, I am interested in your proposal. I would be happy to collaborate. Cost calculations and timelines will be discussed after the details.

Budget: 25000 UAH Deadline: 20 days

Good day.

I am ready to take on the project. I have implemented similar solutions — RAG agents with a knowledge base, integrations with OpenCart, KeyCRM, GA4, and Meta Pixel.

Stack:
— RAG-pipeline (embeddings + Qdrant/Pinecone vector store + LLM responses only from context) — addresses the key requirement: the agent does not fabricate answers, and in the absence of a response, it forwards to the manager;
— LLM: GPT-4o-mini or Claude Haiku (balance of quality and token costs), automatic language detection (UA/RU/EN);
— widget for OpenCart via JS script (without touching the core), quick buttons, direct links to categories/products, responsive;
— transfer to KeyCRM via API with name, contact, dialogue extract, reason tag;
— GA4 + Meta Pixel events (chat_open, message_sent, escalated, link_clicked, etc.);
— admin analytics panel with all metrics from P.12 (top questions, unanswered questions, conversions).

I will help with the structure of the knowledge base — you provide the raw content (FAQ, manager scripts, Instagram questions), I will handle processing and vectorization.

What is NOT included in the basic estimate:
— live sync with 1C/KeyCRM for availability and prices (you mentioned that it can be done without at the start);
— the cost of API tokens is your operational expense (approximately $20–60/month).

Please write in private messages, I would be happy to discuss the details. Expand

Budget: 6000 UAH Deadline: 10 days

Good day.

I have experience in developing AI assistants for websites, integrating with CRMs, and building RAG systems based on structured knowledge bases. For your case, it makes sense to create the agent not as a "regular chat," but specifically as a buyer's assistant with control over information sources and the transfer of complex cases to a manager.

According to the specifications, I see the correct emphasis on ensuring that the agent does not fabricate answers. This can be implemented by working only with an agreed knowledge base + fallback logic when the model is unsure of the answer. Then the agent either provides an answer from the source or transfers the client to the manager without "hallucinations."

I envision an optimal implementation in several stages:
first, an MVP with a knowledge base, FAQ, products, delivery, and chat integration on the website,
then connecting KeyCRM, analytics, and if necessary, stock/prices.

It can be implemented:
a chat for desktop/mobile,
quick buttons,
multilingual support,
transfer of dialogue to the manager,
contact collection,
analytics on questions and conversions,
links to products and categories in OpenCart.

For the knowledge base, it is better to prepare a proper structure right away so that it can be maintained without a developer. For example:
questions,
answers,
category,
keywords,
links to product/category,
languages.

It is also worth immediately incorporating logging of the agent's "failed" responses — this greatly helps to quickly improve quality after launch.

After familiarizing myself with OpenCart, the catalog structure, and current materials, I will be able to propose a specific architecture, stack, and MVP launch plan. Expand

Budget: 27000 UAH Deadline: 20 days

I have over 8 years of experience in e-commerce development and architecture of complex integrations, including platform synchronization with CRM systems. Previously, I successfully implemented similar omnichannel solutions for product niches with extensive catalogs and specific product characteristics (materials, volumes, heat resistance). I will deploy a stable chat widget, fully adapted for desktop and mobile, configure the logic of quick buttons (form selection, delivery), and build a knowledge base architecture based on your FAQs and scripts. The basic implementation of the chat with KeyCRM integration and a structured knowledge base will take 20 days. Let's discuss the technical details in the chat.

Budget: 22000 UAH Deadline: 14 days

Good day.
I am ready to take your project into work.
I can develop a chat agent for your website with a knowledge base and a function to transfer to a manager.
Message me privately, and we will discuss all the details and choose the best solution for you.

Budget: 700 UAH Deadline: 1 day

I reviewed your website mold.com.ua and am ready to create an AI agent that will reduce the workload on managers.

The AI manager will be able to automatically respond to customers according to the store's knowledge base and the sales funnels that we will set up.

I have extensive experience working with OpenCart and KeyCRM. I will be able to set up the integration of the AI manager with your website's database and transfer requests to the CRM system.

There is also the possibility of mass analysis of current and new dialogues.

Please write in private messages, and we will arrange a consultation.

Budget: 7000 UAH Deadline: 30 days

Hello! My name is Nikita. I have been implementing AI solutions in paid advertising and automating marketing processes for over 2 years, working with Google Ads, Meta Ads, and TikTok Ads.
✅What you get when working with me:
— AI-enhanced advertising strategy instead of chaotic launches
— automation of analytics and control of project economics
— systematic scaling based on data and AI tools
📈I work with projects of various scales and use AI for faster analysis of results, finding growth points, and optimizing advertising processes without unnecessary costs.
I am ready to discuss your tasks and offer a practical plan for implementing AI in your project's advertising.

Budget: 27000 UAH Deadline: 30 days

I have experience in developing AI chat agents with RAG architecture (OpenAI API + knowledge base), integrating them into websites and e-commerce projects. I can implement an AI consultant for Orehova molds: working with FAQs and the catalog, providing answers only from the knowledge base, multilingual support (UA/RU/EN), product selection scenarios, transferring complex dialogues to a manager, and lead collection. I will create a chat widget for the website with quick buttons, links to products, and dialogue analytics, as well as lay the groundwork for integration with OpenCart and KeyCRM. I am ready to discuss the MVP and system architecture.

Budget: 2000 UAH Deadline: 3 days

Hello! Having studied your project with great interest, I am ready to start working on it. Let's discuss the details to achieve the best result.

Budget: 20000 UAH Deadline: 15 days

Good day! I am developing in Python! I am ready to execute. Write to me - we will communicate.

Budget: 6000 UAH Deadline: 14 days

Hello! I am creating an intelligent assistant for mold.com.ua that will know everything about your forms: from the safety of silicone to the nuances of delivery to the USA.

I am implementing the project on Make.com/n8n + OpenAI with integration into KeyCRM. The AI agent will not only answer FAQs but will guide the customer to purchase through quick buttons and product recommendations. The bot will operate strictly based on your knowledge base, and in complex cases, it will instantly transfer the dialogue to a manager with all the contacts.

You will receive warm, human service 24/7 and automatic unloading of the team.

Please let me know if you already have a ready FAQ structure or if you need help in forming it for the knowledge base?

Budget: 27000 UAH Deadline: 12 days

Hello. I have extensive experience with Python/React. Do you have a chat design?

Budget: 20000 UAH Deadline: 5 days

Hello, I am ready to develop the necessary AI agent for you and add it to your website. I have extensive experience with automations using AI, feel free to contact me to discuss the details.

Budget: 20000 UAH Deadline: 21 days

Hello. The task involves deploying an AI agent based on vector search (RAG) with an API integration for OpenCart and KeyCRM. I will write the backend in Python (response speed

Budget: 27000 UAH Deadline: 30 days

Hello, Yevhen!

The task is very well described. I have done similar agents before. I can integrate with both 1C and KeyCRM to obtain current availability and prices.

It is also clear how the agent should work, and everything is clearly outlined.

I will definitely help prepare the knowledge base; we can also run previous conversations (if there are any in messengers, for example) and calls through AI for initial question and answer formation.

Overall, it's a good project.
In terms of deadlines, it will take about 30 days to complete "turnkey," considering testing on your side (this is a mandatory part, which is estimated to take 12-15 days).
Regarding the cost, it will be around $1000, but we should discuss in more detail what we are integrating with and your overall non-functional expectations from the AI agent's work.

Write to me, and we will discuss the system in more detail; I will provide a precise proposal. Expand

Budget: 10000 UAH Deadline: 10 days

I can implement this project not as a regular chat on the website, but as a full-fledged AI sales consultant that will work towards business results. The main advantage of my approach is that the agent will not just answer customer questions, but help them move to purchase faster, select appropriate forms, recommend complementary products, and correctly pass complex requests to the manager. This will significantly reduce the burden on the support team and increase the website's conversion rate.

I have a good understanding of the logic of eCommerce projects and the importance of stable AI performance without fabricated answers. That’s why the agent will operate solely based on an approved knowledge base, without fantasizing about product availability, delivery times, or non-existent guarantees. If data is insufficient, the system will correctly transfer the dialogue to the manager while preserving the context of the conversation and the customer's contacts.

I will pay special attention to the convenience of administration. The knowledge base will be structured in such a way that it can be easily updated without complex technical changes. I will also implement multilingual support, adaptation for mobile and desktop, integration with OpenCart, KeyCRM, analytics, and the ability to scale functionality in the future. As a result, you will receive not a test AI module, but a ready tool for automating communication and increasing sales.

Project implementation plan:
1. Analyze the website structure, product categories, and current scenarios of manager operations.
2. Formulate the structure of the knowledge base for the correct operation of the AI agent.
3. Prepare FAQs, instructions, information about delivery, payment, returns, and international shipments.
4. Add logic for product selection and recommendations for complementary products.
5. Configure the AI model with restrictions on fabricating information.
6. Implement the transfer of complex dialogues to the manager.
7. Collect customer contact data in the chat.
8. Develop a chat widget for the desktop and mobile versions of the website.
9. Add quick buttons and starting scenarios.
10. Integrate with OpenCart and KeyCRM.
11. Connect Google Analytics and Meta Pixel analytics.
12. Test dialogue scenarios and correct responses.
13. Launch the first version and optimize based on real customer inquiries. Expand

Budget: 10000 UAH Deadline: 7 days

Good day, Yevhen, I have worked on a similar project, but it was related to the hotel business. Let's break it down step by step:
1. For general information, RAG will be used (it can be external, such as the GPT API, or internal if the server allows it). It is needed for answering general questions from the FAQ, payment, delivery, etc.
2. For products, it is better to use vector search (for example, Qdrant) or simply semantic search. Then, an agent tool is used that queries the database, retrieves product information, and based on this information, provides a response regarding the product. This can also be implemented through an mcp server.
The implementation uses the Python Async programming language. There are many different options for RAG, and it is advisable to test 2-3 for your business (Haystack/RAGFlow/LangChain (+ LangGraph)). For agent management and validation — Pydantic AI. For vector search — Chroma/Qdrant.
I would be happy to work with you.

Budget: 8000 UAH Deadline: 4 days

Hello. I will complete everything quickly and efficiently, according to the specifications. Write to me, I have experience.)

Budget: 8000 UAH Deadline: 10 days

I will create an AI agent based on the RAG architecture: I will upload your knowledge base (FAQ, product descriptions, delivery, payment, returns), and set up escalation to a manager for unknown questions. The agent will respond in Ukrainian by default, with support for Russian/English. I will integrate it as a chat widget on the website or via API.

What CMS does the site mold.com.ua use, and is there already a ready-made knowledge base in a structured format, or does it need to be built from scratch?