Medicine Order AI Call Agent -- 2

@shailender18

Hello, I can build the AI calling agent as a controlled voice-ordering workflow where customers call your number, the AI answers naturally, understands medicine-order requests, confirms the required details and sends the structured order to your backend/admin system. With 5+ years of full-stack and AI integration experience, I can design the flow around a telephony provider, speech-to-text, conversational AI and text-to-speech, with secure API communication to your order system. The agent can handle caller identification, medicine/product selection, quantity, delivery details, confirmation and escalation to a human when confidence is low or the request falls outside the defined workflow. I’ll structure the system with clear conversation states, validation, logging, retry/error handling and secure handling of customer/order information. I’ll also provide deployment documentation, testing of critical call scenarios and a reproducible setup for future improvements. Relevant AI voice-agent examples can be shared where applicable; I won’t fabricate previous project references or links. Best Regards, Shailender

@tamannarajput18

Hi, I understand you need an AI calling agent that can answer customer calls, understand medicine orders, collect customer details, confirm the order, and create it in your system. I can develop the complete solution with: • AI voice calling • Speech-to-text and text-to-speech • Medicine/order details collection • Order confirmation • Backend and database integration • Admin panel • Human-agent transfer when required I will follow your requirement document carefully and build the system step by step, with proper testing for different customer conversations. I have experience in AI, web/mobile apps, API integration, and backend development. I can start by finalizing the call flow and technical architecture, then move to development and deployment. Thanks, Tamanna

@TeraByte26

Hi Puskar, I will build an AI call agent that answers your number, captures medicine order details as per the specification, stores them, and confirms via voice. I can deliver a fully tested version within 3 weeks within your 12,500‑37,500 INR budget. I can share a demo call flow today; shall we begin? Best regards Waiting for your response in chat! Best Regards.

@Abror86

Hi, Abror here, from Uzbekistan. I'm a full stack developer with 8+ years of experience working with AI Chatbot Development, Conversational AI, AI Voice Agents and API Development. I understand you need an AI voice agent that answers medicine-order calls, understands the requested medicines, collects order details and passes validated orders into your system. The real challenge is accurate medicine names, quantities and confirmations during live calls. A common issue: speech recognition errors can create incorrect orders without confirmation and validation steps. My approach: first, map the call flow and order data. Then, build the voice agent, validation and API layer. Finally, test conversations, edge cases and order handoff. I've worked with conversational AI and APIs, so I'd structure confirmation steps around medicine names, quantities and customer details. A few questions to better understand the scope: Q1 - Should the agent confirm each medicine before placing an order? This reduces costly transcription errors. Q2 - Should it connect to an existing order API? I'd use an API layer rather than duplicate order logic. Q3 - Are callers primarily in India? I'll account for Indian phone formats and regional speech variations. Happy to go over the details here in chat and suggest the best approach. Looking forward to hearing from you.

@MuhammadAkif8

Hi I can build the AI calling agent so customers can call your number and place medicine orders through a natural voice conversation while keeping the order flow controlled and reliable I’ll start by mapping the full call flow from incoming call to customer verification medicine selection quantity delivery details and order confirmation. The AI will handle standard order collection only and route unclear prescription related or exception cases to a human instead of making medical decisions Next I’ll connect the voice system with your backend order APIs and database then add conversation logging validation error handling and safe handoff logic. I’ll test different customer responses invalid inputs interruptions and failed API cases to make sure the order is captured correctly I’ll also provide the requested implementation plan documentation and only relevant previous AI calling or voice automation examples for review Send me the requirement document and I’ll align the workflow exactly with your specification before development starts Eagerly awaiting your response. I am confident that my skills will add high value to your project and deliver top tier results Best Regards Akif K

@rajat07me

A medicine order call agent only works if it can reliably understand drug names, quantities, repeat confirmations, and hand off a clean order record without risky confusion. The real challenge here is not just answering calls, but designing a voice flow that handles unclear pronunciations, unavailable items, and confirmation steps properly. I’d approach this by first mapping the full inbound call journey, then building the AI call logic, order-capture workflow, and fallback rules before testing against realistic medicine-order scenarios. I’ve worked on AI/chatbot and workflow automation projects where the key part was turning messy real-world conversations into structured actions, not just making a bot “talk.” For your use case, that means planning the call script, intent handling, medicine/order data fields, and the exact action after the call ends so the order is usable by your team. To give you a proper execution plan based on your document, I need to confirm a few points: - Should the AI only take orders, or also answer availability, dosage, delivery, and payment questions? - Where should the captured order go after the call: CRM, WhatsApp, email, Google Sheet, pharmacy software, or somewhere else? - Do you want Hindi/English or multilingual support, and do you already have a telephony provider in mind?

@ranjika08

Taking medicine orders over calls needs much tighter logic than a normal AI assistant, because one wrong medicine name or quantity can create a serious fulfillment problem. The weak point in projects like this is usually speech recognition accuracy plus poor confirmation flow, so I would start by defining the exact order-taking path, exceptions, and escalation rules from your requirement document. After that, the build would focus on voice handling, structured order capture, and testing with real medication-style conversations. We handle AI automation and conversational systems where the goal is to complete an actual business process, not just generate replies. In your case, that means the system must listen, clarify, confirm, store the order correctly, and make it easy for your staff to review what was captured. If you share the document details here, I can reply with a clearer implementation plan. A few important points first: - Will callers order only by medicine name, or can they also upload/share prescriptions through another step? - Should the AI transfer difficult calls to a human, or fully complete every order on its own? - Do you need the app as a web dashboard too, or only the calling-agent backend?

@NEHABHAT92

With nearly a decade of experience in web and mobile development, I have had the opportunity to work and create cutting-edge AI solutions that I believe would be immensely valuable to your project. My expertise in Android, iOS, Java, PHP, and .NET align seamlessly with the technical requirements described for this AI calling agent app. Regarding your project, I perfectly understand the essential role that an easy-to-use interface will play. Users calling your number to place medicine orders will expect not only a streamlined process but also accessibility for end-users. I am confident that my skills in responsive design and mobile app testing will help create a user-centric system that is both efficient and intuitive. Lastly, the comprehensive support I offer post-project delivery, coupled with my cost-effective solution approach and commitment to quality work make me an ideal partner for you. Your vision is my priority – together we can turn your great idea into a reality! Let's discuss further about how I can help bring value to your business through this project. Thanks for considering my profile!

@flowaiservices

Hi, I can build the AI calling agent for your medicine-ordering workflow. Based on the project description, I understand that customers will call your number, the AI voice agent will answer the call, understand their medicine requirements, collect the necessary order details, validate the requested medicines against your provided data, and create/submit the order in the required format. My implementation plan would be: Set up the voice calling/telephony layer. Build the conversational AI agent with natural voice interaction. Integrate your medicine/product CSV as the knowledge/data source. Design the complete medicine-order conversation flow, including medicine name, quantity and other required details. Add validation and confirmation before an order is submitted. Build the backend/API and database layer for orders and call information. Add an admin interface to review/manage orders and conversations. Test the system with the provided audio examples and requirements and fix edge cases. Deploy the working application and provide setup/documentation. I will first review the attached PDF, CSV and audio examples carefully and align the implementation with the exact workflow specified in them. I can provide a working end-to-end prototype early in the development process so the call flow can be reviewed before final deployment. I’m available to start immediately and can work on this as a focused 7–10 day implementation.

@mardons3

Hi, What I understood: a customer calls your number, the AI picks up, works out which medicines they want, matches them to your SKU list, confirms quantity and places the order. Straight with you - my shipped work is chat, not voice. I built an AI assistant for a medical clinic that books patient appointments, and a Telegram ordering bot with a product catalogue, cart and admin panel. The order capture and SKU matching is exactly what I already do. Voice adds speech-to-text, text-to-speech and telephony on top of that. My plan: Twilio or Exotel handles the call, Deepgram or Whisper for speech, and an LLM locked to your product CSV so it can only offer real SKUs and never invents a medicine. Fuzzy matching for brand names people mispronounce, then the agent reads the order back out loud before confirming. Order saved with the call recording attached. I am new on Freelancer so my price is low. Happy to build one working single-SKU call flow first so you can actually hear it before you commit to the rest. One question: English only, or Hindi and Bengali too? That changes which speech engine I pick. Mardon

@Hrolgar

Twilio's Media Streams gives you raw PCM audio over a WebSocket in real time, which is what makes a sub-second speech-to-text loop possible on a phone call in the first place, and that's the actual engineering problem here, not the chatbot part. The pipeline is call answer, audio stream into a streaming STT engine, transcript chunks into an LLM that's constrained to your medicine catalog so it can only ever output items that exist, spoken confirmation back through TTS, and a structured order object at the end that your system can actually use. The catalog matching is the part that decides whether this works in practice, since callers say brand names, generic names, half-remembered names, and misheard STT output all mixed together, so the matcher needs fuzzy lookup with a confirm-back step rather than trusting the first guess. For 55000 INR over 8 days I'd split it so you can hear it working before committing further. M1: Working demo call, telephony connected, streaming STT live, basic order capture and confirmation on a small sample of your catalog, 18150 INR, 3 days. M2: Full catalog matching, order confirmation flow, error handling for unclear or partial orders, 22000 INR, 3 days. M3: TTS polish, edge cases, call logging and handoff to your order system, 14850 INR, 2 days. This is priced off the brief as it stands. Once I know your exact catalog size, whether Exotel or Twilio is the fixed choice, and how orders need to land on your side, that number might move.

@ayusht634

Hi, I understand this project as a phone-based AI ordering agent where a customer calls your number, the AI answers the call, understands the customer’s spoken medicine requirements, identifies the requested products from the provided medicine catalogue, confirms the order details, and completes the required order workflow. My approach would be to build the system around a telephony layer, speech-to-text, conversational AI, product/catalogue lookup, validation and confirmation logic, and text-to-speech. I would keep medicine/product matching deterministic where possible rather than allowing the LLM to freely invent products or quantities. I would first analyse your provided audio samples, CSV catalogue and detailed specification, then create the call flow and backend architecture. After that I would implement the voice agent, catalogue integration, order workflow, error handling, logging and testing with different accents, pronunciations and ambiguous medicine names. I can also provide a clear deployment and handoff process so the system can be maintained after delivery. I can start with the requirements and audio samples and provide a working implementation in milestones.

@MinaMaroufIt

I build custom software solutions for startups, growing businesses, and modern companies that need reliable, scalable, and results-driven technology. With 7+ years of experience, I help clients create and improve digital products across AI, SaaS, web, mobile, eCommerce, automation, and backend systems. I support projects from planning and architecture to development, testing, deployment, and ongoing improvement. I help clients launch faster, automate workflows, and build dependable products that scale. I believe strong products come from clear communication, practical engineering, and consistent execution. My goal is to deliver solutions that are not only functional but dependable, maintainable, and ready for real business growth.

@ravichedwal

With over 8 years of experience, 145+ successful projects, my core expertise in AI Chatbot and Voice Agent Development aligns perfectly with your need for an AI calling agent for your Medicine Order application. I have previously built intelligent chatbots and voice agents that have successfully served various industries including e-commerce, customer service, and healthcare. As for your project, I completely understand the requirement specification and posses a detailed plan to execute it. My approach would be to leverage Natural Language Processing (NLP) algorithms to train the AI agent to identify and comprehend end-users order regarding medicines effectively. The design will accommodate databases of pharmaceutical products, ensuring an accurate and prompt response. Moreover,I provide comprehensive documentation and video guides after project completions. I'm committed to clean code, clear communication, agile development practices and, most importantly, delivering real results. So why not hit the hire button? Partnering with me means you'll get a cost-effective solution without compromising on quality or security! Let's revolutionize the way people order their medicines. Looking forward to discussing how we can best work together on this impactful project!

@WebXcellance

Hi there! I am a senior Full Stack Developer with 13+ years of experience in PHP/JavaScript, Laravel, MySQL, REST APIs, React.js and Flutter. I understand you need an AI calling agent that answers incoming calls, understands medicine orders, collects customer and order details, confirms the order, and sends it to your backend/order system. I can build the calling integration, AI conversation flow, Laravel REST APIs, order management, database storage, call/order logging and proper validation for medicine names and quantities. I will also handle testing, deployment and documentation. My relevant experience includes Laravel/PHP applications, REST API integrations, database-driven systems and third-party service integrations. I can share relevant examples in chat. I am available 40 hours weekly and can start immediately. Please message me for more discussion about your project. Thanks, Sachin.

@swatig279

I've built a similar AI communication workflow using Twilio + WhatsApp with LLM orchestration, structured data capture, and business-rule automation. Your SOW is much more than a voice bot—it's a pharmacy-grade SKU recognition system where safety, traceability, and measurable accuracy matter more than simply transcribing speech. Implementation approach: 1. Build an MVP voice pipeline using Twilio Voice, streaming audio, and PostgreSQL. 2. Generate Top 3–5 ASR hypotheses and apply phonetic + text SKU matching. 3. Extract medicine, strength, and quantity with validation instead of direct billing. 4. Implement UNKNOWN, confirmation flow, audit logs, and recovery for unclear inputs. 5. Deliver an evaluation dashboard with benchmark metrics and versioned testing. The MVP will prove the complete architecture first; dataset expansion, pronunciation optimization, and benchmark improvements can be delivered as later milestones rather than promising unrealistic accuracy upfront. I'm building my AI agency, so I focus on long-term partnerships, production-quality engineering, transparent communication, and measurable improvements. Let's discuss the requirements and finalize the best implementation approach.

@fullstack0407

Hi, I just read your job post and understand you need an AI calling agent that answers incoming calls, understands the customer’s medicine order, collects the required details and creates the order automatically. My suggested stack would be Retell AI/Vapi + Twilio + Node.js/Python + PostgreSQL, depending on the APIs and workflow defined in your requirements document. I have previous experience with AI voice agents, Twilio, Retell/Vapi, API integrations, n8n automation and automated order/lead workflows. I can share relevant previous examples rather than unrelated AI demos. For development, I’d first map the complete calling flow from the document, then build the voice agent, integrate the order system, test different customer conversations and finally deploy the production version. Please share the attached requirements document so I can give you a detailed understanding, technical architecture, development plan, milestones and exact timeline based on your actual requirements. Best regards, Amarjeet

@hassam945

Hi, I can build your AI calling agent to handle medicine orders through natural phone conversations, with the AI understanding the customer, collecting the required order details, confirming them, and securely passing the final order to your system. My approach would be: • Connect the AI agent with your phone number/telephony provider. • Use an LLM with structured prompts and controlled conversation flow. • Extract medicine names, quantities, customer details and delivery information. • Maintain conversation context and handle corrections naturally. • Validate required information before confirming an order. • Connect the agent with your existing APIs/database for order creation. • Add call logs, order records, error handling and monitoring. • Test different real-world conversations and edge cases. • Deploy the complete system with documentation. I have strong hands-on experience with LLMs, NLP, prompt engineering, AI agents, RAG and backend API integrations, and I can share relevant previous AI projects from my portfolio. I am available to start immediately. We can first discuss your existing system and requirements in detail, create the implementation plan, and then build it phase by phase. You can also give me a small task first to evaluate my work. I will give 100% to the project I accept, and your satisfaction is always my first priority. Let’s discuss the requirements and build a reliable AI calling agent together.

@DevByPrawin

Hi, I understand you need an AI voice calling agent that answers customer calls, understands their medicine requirements, searches your provided product/SKU list, asks clarification when needed, confirms the order, and records the order details. My implementation plan: • Integrate a telephony/voice AI platform for incoming calls, speech-to-text, LLM processing and text-to-speech. • Build a controlled AI conversation flow for greeting, medicine identification, quantity/details collection, clarification and final confirmation. • Import your CSV product list into a structured database with reliable exact/fuzzy/semantic product matching. • Develop a Python backend (FastAPI/Flask) for product search, validation, order creation, call logging and API integrations. • Store customer details, medicines, quantities, SKU, order status and call reference. • Add validation so the agent only handles the defined ordering workflow and does not provide unsupported medical advice. • Test different pronunciations, accents, incorrect medicine names, multiple products, interruptions and unclear requests. • Deploy the complete system and perform end-to-end call testing. I have experience with Python, NLP, ML, APIs and AI application development. I will first study your PDF, CSV and sample calls carefully and then implement the solution according to the exact requirements.