AI Order Email Processing Flow

@Microlent

Hello! I can design an end-to-end Power Automate solution that classifies purchase orders, extracts structured data with AI, and pushes validated JSON directly into your CPQ system fully contained within M365. Proposed Architecture: Monitoring & Classification • Outlook trigger: “When a new email arrives (V3)” • Conditional filters: subject keywords, trusted senders, attachments • Initial scoring logic before AI processing AI Extraction • AI Builder Form Processing or Azure Form Recognizer (via premium connector) • Structured model for: customer, SKUs, qty, pricing, delivery • Confidence scoring threshold with fallback routing • Retraining guide + labeled sample dataset Data Hand-Off • Custom Connector for CPQ REST API • JSON payload mapping + response validation • Audit storage in Dataverse or SharePoint (raw email + structured JSON) Error Handling • Low-confidence → “Exceptions” folder • Adaptive Card alert in Teams • Retry + logging logic for resilience Connectors • Outlook (Premium) • AI Builder or Azure Cognitive Services • HTTP (Custom Connector) • SharePoint or Dataverse • Microsoft Teams Let’s review your CPQ API schema and mailbox samples to finalize extraction model design. Best regards, Jasmin

@AwaisChaudhry

Hello, I will build a robust Power Automate flow to handle your AI Order Email Processing. It will monitor your shared Outlook inbox, classify messages by subject keywords, trusted senders, and attachment presence to flag potential orders. For AI extraction, the flow will pull fields such as customer name, item SKUs, quantities, unit prices, delivery details and other standard order data from body or attachments, using a fast mix of Azure Form Recognizer, GPT-based models, or a ready AI Builder template so you can train it easily on new layouts. The parsed data will be sent to your CPQ REST API to generate quotes in real time, while a copy of the raw email and the structured data will be stored in SharePoint or Dataverse for audit trails. If confidence falls below the threshold or classification fails, the email goes to an Exceptions mailbox and I’ll push a Teams adaptive-card alert for you to review. Deliverables include the cloud flow export, an AI model/template with training notes, a CPQ connector with sample payloads, and a concise setup guide with a Loom walkthrough. We will keep everything inside your M365 tenant, using standard or premium connectors as you license them. 1) What exact subject keywords signal a purchase order, and which senders are trusted? 2) What is the minimum extraction confidence you require before it’s considered successful? 3) Do you want to prioritize extraction from the email body, the attachment, or both? 4) Which CPQ REST endpoints and authe

@irsolutions

With over 10 years of experience in web and mobile development, specializing in AI/ML solutions, I understand the need for an efficient AI Order Email Processing Flow for your project. You require a Power Automate flow that can accurately classify purchase orders from emails, extract key fields using AI, and seamlessly integrate with your CPQ system. In the realm of AI-assisted extraction and data-handling, I have successfully implemented similar solutions for clients in the FinTech and eCommerce sectors. By leveraging my expertise in AI models and connecting with business systems like CPQ platforms, I have streamlined processes and improved overall accuracy. I am confident in my ability to deliver a tailored solution that meets your unique requirements. Let's connect to discuss the specific details of your project further and how I can provide a seamless integration that exceeds your expectations. Looking forward to collaborating with you on this innovative project.

@OutsourceMan

⭐⭐⭐⭐⭐ Thank you for sharing your requirements. CnELIndia, led by Raman Ladhani, can deliver a robust end-to-end solution tailored to your needs. We will design a Power Automate flow that continuously monitors your shared Outlook inbox, applying your specified keyword, sender, and attachment filters. Using AI Builder or Azure Form Recognizer integrated with GPT-based models, we will extract all key order fields accurately. Extracted data will be pushed via REST API directly to your CPQ system, while storing both raw emails and structured JSON in SharePoint for audit purposes. Exception handling with adaptive Teams notifications ensures zero unhandled failures. CnELIndia will provide the full flow export, AI training documentation, CPQ connector logic, setup guide, and a walkthrough video. With our experience in Power Automate, AI model development, and M365 integration, we guarantee a solution meeting your 95% accuracy and reliability targets.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in PHP, Software Architecture, Azure, MySQL, Database Administration, Power Automate, REST API, AI Chatbot Development, AI Model Development, AI Content Creation and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@LiveExperts

Hello, With our extensive experience in machine learning, artificial intelligence, and data analysis, my team at Live Experts is perfectly equipped to take on your AI Order Email Processing Flow project. We understand the intricacies of creating reliable and efficient automation systems, which is exactly what your Power Automate flow requires. For monitoring and classification, we can set up an algorithm based on a combination of keywords, specific sender addresses, and attachment detection to ensure that all genuine purchase orders are promptly recognized while filtering out other email types. Our experience with different NLP models including Azure Form Recognizer and GPT-based methods will ensure that the email content and attachments receive appropriate scrutiny for information extraction. In terms of integration, our expertise extends to REST API endpoints like those you describe with your CPQ system and the ability to store structured JSON in SharePoint or Dataverse for an audit trail. We also have deep familiarity with M365's range of standard and premium connectors - assuring you that all our solutions will fit neatly into your licensed environment. Additionally, we can develop a training documentation package for the AI model we build for you to facilitate easy maintenance for yourself in future training exercises. I assure you that we can create a solution that processes your sample set of 25 real emails with at least 9 Thanks!

@divumanocha

Hello Greetings, After reviewing your project description, I feel confident and excited to work on this project for you. But I have some crucial things and queries to clear out. Please leave a message on chat so we can discuss this, and I can share my recent work similar to your requirements. Thanks for your time! I look forward to hearing from you soon. Best Regards.

@offshore9006

We’re a 3-dev automation team specializing in M365 + AI flows, building production systems fast using vibe coding (rapid prototyping + hardened delivery). Proposed stack (all inside your M365 tenant): • Outlook (shared mailbox) trigger – “When a new email arrives (V3)” with subject keyword, trusted sender + attachment filters • AI Builder (Document Processing + GPT prompt action) for PO classification + structured field extraction (confidence scoring included) • HTTP (Premium) or Custom Connector for CPQ REST push (JSON payload) • Dataverse (preferred) or SharePoint for raw email + structured JSON audit trail • Teams (Adaptive Card) + mailbox folder routing for exceptions Flow design: Triage layer → 3-signal validation AI classification → PO / Not PO Structured extraction (customer, SKUs, qty, pricing, delivery) Confidence check (≥95% target) CPQ POST → Quote auto-create Parallel logging → Dataverse Exception handling → Folder + Teams alert Deliverables: Exportable managed solution Re-trainable AI model + documentation CPQ custom connector + sample payloads Setup guide + Loom walkthrough We’re confident in achieving 95%+ field accuracy with zero unhandled failures. Ready to review mailbox samples and CPQ API docs. Best,

@maverick44000

Hello Sir, Instead of power automate, this can be achieved by developing an Outlook Add-in. The Add-in shall monitor the Outlook Folder and as soon as a potential order email comes in, the whole AI routine will kick in. I have developed similar solutions for other clients. Let me know if you are interested to proceed. Good day, Usman

@efanntyo

Hi there, I’m pleased to offer a turnkey Power Automate-based solution for your AI Order Email Processing Flow. With extensive experience integrating Power Automate with Azure AI services, REST APIs, and enterprise data stores, I’ll deliver a robust, maintainable flow that watches your shared Outlook mailbox, classifies messages against your three signals, extracts all key order fields with AI, and hands off clean JSON to your CPQ endpoint while preserving a complete audit trail in SharePoint or Dataverse. This approach focuses on speed to value, accuracy, and full in-tenant compliance (M365 Native, standard or premium connectors). What I will build for you - Monitoring & classification: A scalable trigger-and-filter logic that polls the mailbox and screens messages by subject keywords, trusted senders, and attachment presence. Only qualifying messages proceed to AI extraction; others are ignored or routed per your policy. - AI-assisted extraction: A dual-path extraction strategy that leverages Azure Form Recognizer, GPT-based models, or an AI Builder model, whichever trains quickest and remains easiest to maintain. The model will extract customer name, SKUs, quantities, unit prices, delivery details, payment terms, and additional standard fields, with confidence scores attached. - Data hand-off: The parsed data is sent to your CPQ REST endpoints as a structured JSON payload for automatic quote generation, while a raw email copy and the structured data are saved in a Share

@Herculesz

Hi I can build a full end-to-end Power Automate solution that monitors your shared Outlook inbox, classifies genuine purchase-order emails, extracts all required order fields with AI, and pushes clean JSON directly into your CPQ system through its REST API. The main technical challenge is achieving >95% extraction accuracy across varied email and attachment layouts, and I’ll solve this using a hybrid AI approach—Azure Form Recognizer for structured content plus GPT/AI Builder for unstructured text—to normalize SKUs, quantities, pricing, and delivery details. I’ll create a robust flow that handles message polling, classification rules, extraction confidence checks, error routing, and audit logging into SharePoint or Dataverse. The CPQ integration will use either a premium HTTP connector or a custom connector if authentication requires it, ensuring quotes auto-generate without manual touch. You’ll receive a fully exportable solution file, AI training templates, CPQ payload samples, and a step-by-step setup guide with a Loom walkthrough. Thanks, Hercules

@Feriver

Hello, I understand that you need a Power Automate flow to monitor a shared Outlook inbox, identify genuine purchase orders, extract key fields with AI, and push structured data to your CPQ system while maintaining an audit trail. My approach will include: Monitoring & Classification: Filter messages by subject keywords, trusted senders, and attachments, directing valid POs for processing. AI-assisted Extraction: Use Azure Form Recognizer, AI Builder, or a lightweight GPT-based model to extract customer name, SKUs, quantities, pricing, delivery details, and other standard fields from both email body and attachments. Data Hand-off: Push parsed JSON to the CPQ REST API and store both raw emails and JSON in SharePoint or Dataverse for audit. Error Handling: Low-confidence extractions will route to an Exceptions folder with adaptive-card Teams alerts for review. Deliverables include the full exportable Power Automate solution, AI model with training documentation, CPQ connection logic with sample payloads, and a setup guide with a Loom/screen-share walkthrough. Q1: Are there multiple email layouts we need to train for, or is the format mostly standardized? Q2: Should the SharePoint/Dataverse storage include attachments, or only the parsed JSON and raw email text? Thanks, Asif

@neerajdhameliya

Hello, After reviewing your project, I’m very interested in building a robust Power Automate workflow to process purchase orders from your shared Outlook inbox, extract key data with AI, and push it directly to your CPQ system. I specialize in Microsoft 365 automation, AI-assisted data extraction, and end-to-end workflow orchestration. I’ve developed solutions featuring Power Automate cloud flows, AI Builder, Azure Form Recognizer, GPT-based models, SharePoint/Dataverse storage, Teams adaptive-card alerts, and REST API integrations. My focus is on modular, maintainable architecture, high-accuracy parsing, and fully auditable workflows that ensure zero unhandled failures. Portfolio ==> https://www.freelancer.com/u/neerajdhameliya Additional Capabilities: => AI-assisted extraction from email bodies and attachments => Custom connectors and REST API integration with business systems => SharePoint/Dataverse storage for audit trails => Teams adaptive-card alerts for exception handling => Exportable Power Automate solutions with training and documentation Do you have a sample mailbox set ready for testing, or should we help define the initial training data? Will you need support for future email templates and evolving CPQ fields? I’m confident I can deliver a reliable, high-accuracy workflow that streamlines your purchase order processing. Looking forward to hearing from you. Best regards, Niral D

@hireageek

Hi there, I'm excited about the opportunity to create the AI Order Email Processing Flow for your team. As a top California freelancer, I've successfully completed numerous projects on this platform, consistently receiving 5-star reviews. I understand the importance of accurately monitoring and classifying purchase orders, ensuring that your flow captures the right data efficiently while minimizing errors. With my expertise in Power Automate and AI models, I will design a solution that precisely filters emails based on specified criteria, uses the best AI technology for data extraction, and integrates smoothly with your CPQ system. My approach ensures that we maintain an audit trail and streamline manual reviews for error handling, meeting all your acceptance criteria. I’m eager to get started and can provide you with the first deliverables within a tight timeline. Please message me right away to discuss the mailbox sample set and finalize the connectors I’ll use. What specific keywords and trusted sender addresses do you want to use for filtering? Best regards,

@devendrathakur12

Hello, I specialize in Power Automate and built & customized large scale M365 order automation systems. The main challenge here is correctly identifying real purchase orders and extracting clean data with high accuracy before sending it to your CPQ. I am certified in Microsoft Power Platform development, and I will solve this by using Power Automate with AI Builder or Azure Form Recognizer, secure REST calls to your CPQ API, and structured storage in SharePoint or Dataverse for full audit tracking. You’ll get a stable, exportable solution inside your M365 tenant. A few things to confirm: How different are the PO formats today? Is CPQ using OAuth2 or API keys? What confidence score should trigger exceptions? How fast must orders reach CPQ? Happy to review 25 samples and give a clear timeline. Best regards, Dev S.

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With over 10 years of experience in developing automated workflows using Power Automate, I specialize in creating efficient solutions that streamline business processes. Your requirement for an AI-powered email processing flow is particularly exciting. I can set up a cloud flow that monitors your shared Outlook inbox, classifies emails based on your specified signals, and extracts necessary order details using Azure Form Recognizer or a suitable GPT-based model for optimal performance. The parsed data will seamlessly integrate with your CPQ platform via REST APIs, ensuring a smooth handoff for auto-generating quotes. Additionally, I will implement robust error handling to ensure nothing gets missed, providing you with an audit trail in SharePoint or Dataverse. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: Which connectors do you intend to use for this project, and how soon can you provide a timeline after reviewing the mailbox sample set? Let’s discuss over chat! Regards, Arpit Jaiswal

@rbtech1984

Hello There!!! ★★★★ ( AI Order Email Processing Flow ) ★★★★ Project understanding: I understand you need a Power Automate flow that monitors a shared Outlook inbox, identifies genuine purchase orders, extracts key fields with AI, and pushes structured data to your CPQ system while keeping a full audit trail. The solution must handle exceptions, provide alerts, and maintain 95%+ accuracy on sample emails. Services mentioned here based on project details ⚜ Mailbox monitoring with keyword, sender, and attachment filters ⚜ AI-assisted extraction of order data from email body and attachments ⚜ Integration with CPQ REST API for automatic quote generation ⚜ Storage of raw emails and structured JSON in SharePoint/Dataverse ⚜ Exception handling with Teams adaptive-card alerts ⚜ Exportable Power Automate solution with retrainable AI template ⚜ Setup guide and walkthrough documentation I have 9+ years experience with Power Automate, AI Builder, Azure Cognitive Services, and REST integrations. I will create a robust, maintainable flow with clear documentation and accurate end-to-end processing. Looking forward to helping automate your order workflow efficiently. Warm Regards, Farhin B.

@MRARIFAKRAM

I am Muhammad Abdullah, a skilled professional with 8 years of experience in Linux, Windows, Unix, and DevOps. My expertise spans across networking, application development, web development, and troubleshooting. I have a deep understanding of system administration, cloud infrastructure, and automation tools. I’m passionate about optimizing performance, ensuring security, and delivering high-quality solutions. I aim to provide reliable and efficient services, helping your business achieve its goals through innovative tech solutions.

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam