Email-to-Quote Outlook Automation

@proy89

Hi there, You need an Outlook‑bound AI workflow that extracts product, quantity, contact, delivery date and specs from inbound inquiry emails, populates your quotation template and creates a ready‑to‑send draft with the attachment, while flagging uncertain parses for review. I’ll build it using Microsoft Graph + Power Automate for seamless 365 integration, calling an OpenAI function (via Azure OpenAI) for reliable entity extraction. The flow will monitor the dedicated inbox, invoke a Python/Azure Function that parses the mail with a fine‑tuned prompt, returns structured data, and the flow will merge those values into your Word template (via Office Script) and generate a PDF. Finally, a Draft email is created in Outlook with the standard reply body and the PDF attached. If the confidence score falls below a set threshold, the draft is marked with a “Manual Review” flag. Key steps: Graph webhook on the inbox. Azure Function (Python) handling OpenAI extraction, returning confidence scores. Power Automate actions: populate Word template, convert to PDF, compose Draft. Error handling and logging per M365 security policies. Do you already have a custom Word/Excel quotation template stored in SharePoint or OneDrive, or should the flow create a temporary copy each run? Thanks, please get in touch – looking forward to automating your quoting process.

@maverick44000

Hello, This can be done using an Outlook Add-in. I have delivered similar automatic quote creation projects in the past for various clients. Let's discuss and kick off. Usman

@KrisuTechkul

Hi, we are a team of 20+ AI/ML Engineers based in Delhi - have completed 300+ projects with 100% client satisfaction & long term association. As a seasoned AI Developer and Python specialist, I possess extensive experience in precisely the kind of project you've described. I've successfully built systems that extract relevant data from unstructured sources and automatically populate templates. In fact, I just recently completed a similar project for an e-commerce client where I developed an AI-driven system to extract customer order details from emails and automate order processing. My expertise extends to Microsoft Graph and Outlook add-ins which are crucial for this undertaking. Your project aligns perfectly with the kind of transformative AI solutions my team and I are renowned for crafting. Our skill set encompasses machine learning, deep learning, NLP, computer vision, RPA, and predictive analytics - all essential facets for a robust email-to-quote automation workflow. Moreover, apart from delivering the required codebase and comprehensive documentation for your IT team's ease, I strongly believe in providing post-deployment support to ensure a seamless integration into your existing structure.

@vishal1145

Your biggest risk here isn't the AI extraction - it's the false positives. If the system auto-generates a quote with the wrong quantity or misses a spec requirement, you'll send incorrect pricing to customers and damage trust. I've seen this exact scenario cost a manufacturing client $40K in repricing disputes before we added confidence scoring. Before I map out the architecture, I need clarity on two things. First, what's your average email volume per day and how many product SKUs are in your catalog - this determines whether we need a vector database for product matching or if simple keyword extraction is enough. Second, when the AI flags uncertainty, do you want it to highlight specific fields in the draft (quantity uncertain, delivery date missing) or just park the entire email in a separate review folder? Here's the technical approach: - MICROSOFT GRAPH API + AZURE FUNCTIONS: Deploy a serverless listener that monitors your inbox via webhooks instead of polling every 5 minutes, cutting response time from 10 minutes to under 30 seconds and staying inside your M365 security boundary. - OPENAI GPT-4 WITH STRUCTURED OUTPUTS: Use function calling to enforce a strict JSON schema for product name, quantity, delivery date, specs - this prevents hallucinations where the model invents data that wasn't in the email. - PYTHON + DOCX-TEMPLATE: Populate your Word template programmatically with extracted fields, then convert to PDF using pypandoc so formatting stays locked and customers can't accidentally edit pricing. - CONFIDENCE THRESHOLDS: Set a 0.85 certainty score - anything below that adds a red banner to the draft subject line ("REVIEW REQUIRED: Low confidence on delivery date") so you know exactly what needs human verification. - POWER AUTOMATE FALLBACK: Keep a manual trigger flow as backup so if Azure Functions goes down your team can still process urgent quotes without waiting for IT. I've built three similar systems for B2B distributors processing 200-500 quotes per week. The last one reduced quote turnaround from 4 hours to 12 minutes and cut data entry errors by 90%. Let's schedule a 20-minute call to walk through your quotation template and email samples - I need to see the actual variation in how customers phrase requests before committing to an extraction model.

@AZTURK1

Hi there, I will build an Outlook-native AI workflow that watches your dedicated M365 inbox, extracts product, quantity, contact, delivery date and specs using Microsoft Graph + OpenAI or Power Automate with a Python validation step, and creates a draft reply with the approved quotation attached. - Build and deliver an automation flow (Power Automate or Python + Graph) that parses incoming Outlook emails and extracts product, qty, contact, delivery date, and specs into named fields. - Populate your existing Word/PDF quotation template programmatically and place the generated file in a new Outlook Draft message using the standard reply template and leave it ready to Send. - Provide commented code, one-click deployment script/flow, and a Loom video demonstrating a live email run; include one week post-deploy support. - Quality control: staged deployment with post-fix validation and flagged-for-review logic when extraction confidence is below threshold (no guessing). Skills: ✅ Microsoft Outlook ✅ Microsoft Graph API ✅ Power Automate ✅ OpenAI / Python extraction workflow ✅ Template population (Word/PDF) & Draft creation ✅ Microsoft 365 security & compliance validation Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 Available to start immediately. Is this already running on a live production mailbox in Microsoft 365? Price: 12500 , Delivery: 1 day Best regards,

@NEHABHAT92

As a seasoned developer with more than 9 years in the industry, I possess an impressive set of skills that make me your perfect fit for this project. From handling web and mobile app development to specialization in AI and Automation, I have a vast experience that spans across several languages including HTML, PHP, Python and more. Given that all your communications are driven through Outlook, my expertise in Microsoft Graph is highly relevant here as it will enable me to understand and navigate the necessary systems effortlessly. My prior work in creating Outlook add-ins guarantees that I can provide the seamless workflow you're looking for. Moreover, my extensive experience with APIs such as Zapier or Power Automate further adds to my ability to build efficient systems. Perhaps what distinguishes me from other candidates is not just my technical proficiency but also my commitment to delivering at every step possible. From developing a fully-functioning automation script to a detailed deployment guide, you can be assured of comprehensive and effective post-deployment support for testing your system. Weathering over 9 years of competitive business has taught me how vital it is to connect with clients on a human level while being technically competent. Offering generous benefits like cost-effectiveness, cross-browser compatibility, and free after-delivery support are not just golden words but real commitments from my side. Let's talk!

@rupa37

As an IT specialist with an extensive background in system administration and DevOps, I bring a wealth of practical expertise and experience to your project. Although my major proficiency lies in managing Linux systems, my adaptability ensures that I can excel across different environments as well. Hence, even though Outlook isn't my core focus, its similarities with other systems I have managed make it easily navigable for me. One of the key reasons why you should choose me for this project is my commitment to system stability, security, and performance. Automating email-to-quote process requires not only accuracy in field extraction- scrutinized heavily by me, but also a determination to ensure that the automation script seamlessly aligns with your existing folder structure and Microsoft 365 security policies- attentively managed by me throughout the development process. Moreover, with over 15 years in the industry, I believe that the shared challenges during the initial testing period will be better handled given my repository of knowledge in troubleshooting and providing user-end support. Your satisfaction being at the core of my work ethics, I am prepared to go above and beyond merely providing an automation script—for a hassle-free deployment,

@Shrutibimpl

Hello There, As per my understanding you want an automated sales workflow that extracts inquiry details from Outlook to generate formal quotations and draft replies. I will build a robust integration connecting your email to your templates and drafting system. 1) Is your quotation template a Word document with content controls or a PDF? 2) Do you have a product catalog in Excel or SQL to validate names and pricing? 3) For the uncertainty flag, should the system add a category label to the draft or send a notification? I will build a smart assistant that takes the manual entry out of your sales cycle, ensuring every customer gets a fast response. You will see your inquiry inbox transform into ready made drafts, allowing you to review and press send in seconds. This gives you the professional edge to close deals faster while keeping records organized and customer details secure within your office environment. I will architect the solution using Power Automate and an OpenAI API connection to parse product fields. I will use the Word Online connector to populate your template and convert the document to a PDF. The workflow will then utilize the Outlook connector to create the draft message and attach the file while ensuring compliance with Microsoft 365 security policies. Best regards, Bharat Joshi

@Hrolgar

The M365 security constraint on both inboxes rules out Zapier and most third-party middleware. Anything routing mail content through an external cloud service will trip your DLP policies. The right stack: Microsoft Graph webhooks for real-time email ingestion, Azure OpenAI for extraction (stays inside your tenant boundary), and docx-templater to stamp the Word/PDF quote template. The manual-review flag is what makes this worth doing properly. I'd set up structured-output extraction with a confidence score per field. If any field falls below threshold, the draft gets flagged with the uncertain fields highlighted rather than guessed. Your IT team can tune that threshold without touching code. Architecture: a .NET worker app subscribes to the inbox via Graph change notifications, extracts fields on each new email, generates the quote document, and creates the Outlook Draft via Graph API. No polling, no third-party relay, no data leaving M365. M1: Graph subscription + email ingestion + confidence-threshold flagging, 10,000 INR, 5d. M2: Azure OpenAI structured extraction + field-level confidence scoring, 12,500 INR, 9d. M3: docx quote generation + Outlook Draft creation via Graph, 10,000 INR, 12d. M4: One-click deploy guide for IT, Loom walkthrough on live email, testing week support, 5,000 INR, 14d. Total: 37,500 INR / 14 days. One thing that affects the extraction setup before I start: do you already have an Azure OpenAI deployment in your tenant, or does that need to be provisioned from scratch?

@chiragardeshna

Hi there, Strong alignment with this project comes from experience building AI-driven Outlook automation workflows with Microsoft Graph integrations, intelligent document generation systems, and enterprise-ready email processing pipelines. Clear understanding of the requirement to monitor Outlook inboxes, extract structured product inquiry data using AI, populate quotation templates automatically, and generate draft replies with attached quotations while supporting manual review when confidence is low. Hands-on expertise with Power Automate, Python, OpenAI integrations, Microsoft Graph API, Outlook workflow automation, PDF/Word document generation, secure Microsoft 365 integrations, and enterprise automation architecture ensures reliable and maintainable implementation. Risk is minimized through structured extraction validation, confidence-based review workflows, secure Microsoft 365 compliance handling, automated draft testing, and clean deployment documentation with post-launch support. Available to start immediately happy to discuss the preferred automation stack, deployment workflow, and next steps. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@gigatorb

Hi, I can build an **AI-driven Outlook automation** that reads incoming product inquiry emails, extracts key details, generates quotations automatically, and prepares draft reply emails for your review. I have experience with **Microsoft 365, Outlook automation, Power Automate, Microsoft Graph API, Python, and AI-based data extraction (OpenAI/Azure OpenAI)**. My recommended approach would be a secure **Power Automate + AI extraction + Outlook Draft automation** solution, designed to work seamlessly within your Microsoft 365 environment. I can deliver: • Automatic email monitoring and AI extraction of product name, quantity, delivery date, customer details, and specifications • Quote generation using your existing **Word/PDF template** • Auto-creation of reply drafts in **Outlook Drafts** with quotation attached • Confidence-based validation (flagging uncertain extractions for manual review) • Fully documented workflow/code with deployment guide • Loom walkthrough or live demo • Post-deployment support during testing week The solution will be secure, reliable, and easy to maintain while fully respecting your existing Outlook folders and Microsoft 365 security policies.

@ukokab

I will build an AI‑powered Outlook workflow that watches your dedicated inbox, extracts product name, quantity, customer details, delivery date, and specs using OpenAI (or local LLM). The data populates your pre‑approved quotation template (Word/PDF), then creates a draft email in Outlook (standard template) with the quote attached – ready for you to send. If the AI is uncertain, it flags the draft for manual review. I use Microsoft Graph API and Power Automate (or Python if you prefer self‑hosted) – rock‑solid, respects M365 security, and easy to maintain. ✅ Deliverables: fully commented script/flow, one‑click deployment guide, Loom demo, and one week of post‑deployment support. **Question:** Does your pre‑approved quotation template use bookmarks or merge fields that I can map directly, or should I design a flexible parser to insert extracted values? Best, Usman K https://www.freelancer.com/u/ukokab

@mahmoud1911

Hello there, I hope you’re doing well. I’m genuinely interested in supporting your needs. I bring over 15 years of experience in IT and technical operations, specializing in: Troubleshooting Windows, macOS, Microsoft 365 Admin Center, Google Workspace, DNS, Exchange, Networking, WordPress, VMs, RDP and cloud applications Automation: Power Automate, Power BI, workflow optimization, and media transcoding pipelines Please contact me via messages to discuss your project.

@welldonewisher

Hi, I want to be transparent upfront — I’m not positioning myself primarily as an AI workflow specialist. My background is more aligned with enterprise architecture, operational workflows, integration design, and scalable execution systems. From your requirement, I see a workflow involving: * receiving product inquiries, * extracting structured quotation data, * generating quotations, * and preparing customer responses inside Outlook. Before assuming AI is the correct approach, I’d first like to understand the operational process and where the actual friction exists. For example: * Are inquiry formats highly inconsistent? * Are staff manually copying data into quotation templates today? * Are quotation rules standardized? * Is the goal full automation or assisted drafting with human review? In some cases, structured extraction rules, Microsoft Graph APIs, workflow orchestration, or validation layers may be more maintainable and predictable than introducing full AI-driven behavior everywhere. If the workflow truly requires interpreting inconsistent emails similar to human judgment, then AI-assisted extraction may absolutely make sense. My usual approach is to first understand the operational workflow, identify where standardization is possible, define which steps belong to automation vs human review, and then choose the simplest reliable architecture for long-term maintainability.

@sakshigweb

Hi there, The hardest part of email-to-quotation automation isn't the extraction — it's making sure uncertain fields get flagged for review instead of silently guessing wrong. That's the logic we'd build first. - Python + Microsoft Graph API to monitor your Outlook inbox — no Power Automate dependency, fully M365-compliant - OpenAI API for field extraction — product name, quantity, contact details, delivery date, specifications - Confidence threshold logic — uncertain fields flagged for manual review, never silently guessed - Extracted values mapped into your approved Word or PDF template via python-docx or ReportLab - Outlook Draft created via Graph API — reply template loaded, quotation attached, ready to Send - Commented codebase + step-by-step deployment guide + screen-share walkthrough I'll personally review extraction accuracy and draft creation logic before handover. One question: is the quotation template a fixed Word layout, or does it include dynamic tables that expand based on line-item count?

@serviceaxisgroup

Hi, I can help with an Outlook inbox-to-Quote automation that extracts product fields, fills your approved Word/PDF template, and prepares a Draft with the standard reply and attached quotation for you to send. I’ll start by building an AI extraction pipeline with strict field validation and confidence thresholds, then integrate it via Outlook/Microsoft 365 (Graph/Power Automate) while mapping to your exact folder structure. I’ll reduce risk by flagging any low-confidence or missing fields for manual review instead of guessing. Which template type do you prefer for generation (Word or PDF), and where should the draft appear within your existing Drafts structure (folder/subfolder)? If you share a sample inquiry email and your template fields, I can propose the first quick prototype timeline.

@mussaibb7

I'll deliver a clean, maintainable implementation for the Email-to-Quote Outlook Automation workflow that works under real usage, not just a quick proof of concept. Leveraging my experience in building AI-driven workflows, I'll create a robust backend structure using Python and FastAPI, integrating seamlessly with Power Automate and Microsoft Outlook. Drawing from my previous work on Jarvis AI - Personal Automation Assistant, where I orchestrated 30+ automated workflows, I'll ensure your implementation is scalable, maintainable, and reliable. I'll prioritize clean integrations, error handling, and API reliability. My execution plan involves: - Designing a clean backend code structure for the workflow - Setting up environment instructions for deployment - Defining a clear API integration flow - Providing a comprehensive README for future maintenance Before starting, I'd like to clarify module boundaries, memory/state expectations, and what the first working loop should cover. Do you already have the API contracts and environment ready, or should I define that structure first?

@Apponn

Hey there, I came across your Email Quote & Outlook automation project requirements and understand that you're looking for a smart automation solution to streamline email handling, quote generation, and Outlook workflow management. My understanding is that the system should work smoothly, accurately, and efficiently while reducing manual work and improving overall business workflow and productivity. I specially work on automation systems, API integrations, AI-powered workflows, custom web solutions, and AI chatbots. I have experience building efficient automation systems that help businesses automate repetitive tasks, manage workflows, and improve operational efficiency. My approach would be to create a reliable, fast, and easy-to-manage automation process for email handling, quote generation, and Outlook integration while making sure the overall workflow feels smooth and professional. If you want, I can also provide demo work and similar project references. Best regards, Rohit

@mubashir021

I am excited about the opportunity to create an AI-driven workflow for your Outlook automation project. With extensive experience in developing similar automation solutions, I understand the importance of accurately extracting details from emails and generating professional quotations seamlessly. My approach will involve leveraging Power Automate for integration with Outlook, ensuring we respect your existing folder structure and Microsoft 365 security policies. I will also incorporate AI tools for accurate data extraction, with a fallback mechanism for manual review if uncertainties arise. Deliverables will include a fully functional automation script, a one-click deployment guide for your IT team, and a short video demonstrating the system in action. I am committed to providing post-deployment support for the initial testing week to ensure everything runs smoothly. I look forward to discussing this project further and delivering a robust solution that meets your needs.