Accounting Software Features

Following numerous inquiries about API architectural patterns, I'm sharing this comprehensive technical analysis I developed to help teams make informed decisions about their API strategy. 𝗥𝗘𝗦𝗧 (𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝗮𝘁𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿) • Industry-standard architecture leveraging HTTP methods • Excellent for CRUD operations and stateless interactions • Benefits from broad tooling support and cached responses • Best suited for resource-oriented services 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 • Query language enabling precise data fetching • Eliminates over-fetching/under-fetching of data • Strongly typed schema serving as a contract between client and server • Particularly valuable for complex data relationships and microservice aggregation 𝗪𝗲𝗯𝗦𝗼𝗰𝗸𝗲𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 • Enables full-duplex, persistent connections • Significantly reduces overhead for real-time applications • Ideal for live dashboards, gaming, and collaborative tools • Maintains a single TCP connection for bi-directional data flow 𝗴𝗥𝗣𝗖 (𝗚𝗼𝗼𝗴𝗹𝗲 𝗥𝗲𝗺𝗼𝘁𝗲 𝗣𝗿𝗼𝗰𝗲𝗱𝘂𝗿𝗲 𝗖𝗮𝗹𝗹) • Leverages HTTP/2 for multiplexed streaming • Protocol Buffers enable efficient serialization • Generates type-safe client libraries automatically • Optimal for microservice-to-microservice communication 𝗠𝗤𝗧𝗧 (𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗶𝗻𝗴 𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁) • Lightweight publish/subscribe messaging protocol • Designed for high-latency or unreliable networks • Minimal bandwidth consumption • Essential for IoT and sensor networks 𝗪𝗲𝗯𝗵𝗼𝗼𝗸 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 • Event-driven HTTP callbacks • Enables asynchronous system integration • Reduces polling overhead • Perfect for event notifications and integrations Technical Decision Framework: 1. Performance Requirements: Consider gRPC for internal services requiring maximum throughput 2. Real-time Needs: WebSocket for bi-directional communication 3. Resource Constraints: MQTT for devices with limited bandwidth 4. API Consumption Patterns: GraphQL for varying client requirements 5. Development Velocity: REST for rapid implementation and broad compatibility I would appreciate hearing about your experiences implementing these patterns in production environments.

How we saved 10+ hours weekly by giving finance a simple interface. Our finance team was processing invoices the same way for years: 1. Email attachments → 2. Manual download → 3. Print → 4. Physical signature → 5. Scan → 6. Manual data entry The entire cycle took 3-5 days. The request to "build a proper approval system" kept getting deprioritized—it felt like a multi-month project. We reframed the problem: We didn't need a complex system. We just needed to connect two things: the data from our accounting software's API and a simple list where the right people could click "Approve" or "Reject." What actually got built: • A single-page app that pulls unpaid invoices automatically • Logic that routes invoices over $5k to directors, others to managers • A comment field for rejections • A basic audit log showing who approved what and when What changed: ✅ Approvals now happen in under 24 hours ✅ The finance team stopped chasing paper trails ✅ Vendors get paid faster ✅ Every decision is logged automatically The takeaway: Sometimes "digital transformation" isn't about big platforms. It's about giving a team one less PDF to manage by building a simple, focused tool that sits on top of the data they already use. What's the most stubborn, repetitive task in your team's workflow? Often the highest-impact tools are the smallest ones that remove a single point of friction. https://uibakery.io/ #ProcessAutomation #FinanceTech #OperationalEfficiency #DigitalTransformation

How I reclaimed 30% of time for 25 account managers That's 60 hours of bad busy work a day → 300 hours a week → 1,200 hours a month → 14,400 hours a year I partnered with an agency to optimize productivity in their account management team. Why? ⌛ alarming overtime rates 🛠️ insufficient resources for new projects → loss of opportunities 💰 One problem surfaced right away: → manual invoicing process (in Word 🤯) Talking to the team, I found they spent 30% of time quotes and invoices: • creating • tracking • updating   • following up  Here's how I tackled it:  1. Presented a case to the finance director  2. Defined clear needs for an automation tool  3. Finance director proposed a solution  4. Tested the proposed solution  5. Gathered input from account managers  6. Systemized the process and set up the tool  7. Trained all team members and finance team  8. Soft launched with selected clients  9. Went live and informed all clients 10. Collected feedback and results: 🏆 Reclaimed 30% of time for 25 account managers 🏆 Reclaimed 50% of bad busy work for finance team 🏆 Saved 💰 on 5 unnecessary hires "We're blind to our own blindness." It's human.  An external thinking partner is your third eye. 👁️ You finally see the blind spots. I get coached bi-weekly to stay aware of mine. ----------------------------------------------- ⏱️🏆 Ready to free up 30% of time from bad busy work? Grab a 30min consultation and let's start transforming your schedule! → https://lnkd.in/ddDD3GvS #TheGoodBusy

Recorded on location in Ft. Worth, Texas, I chatted with Mark Kimber, Chief Revenue Officer at Fintech, spoke to #NoVacancyNews to uncover how this decades-old alcohol invoicing powerhouse is shaking things up in hospitality. If you manage hotel operations and are drowning in invoices, this conversation might just change the way you work. 🎙️ Here's what you'll hear in this episode: How #Fintech evolved from alcohol compliance to hospitality-wide invoice automation Why hoteliers are stuck with “garage sale” accounting outside of alcohol—and how to fix it How Fintech eliminates hours of manual entry by integrating with your ERP system (think Birchstreet, Coupa, and more) Real-time visibility into cash flow, invoice accuracy, and vendor compliance A proof-of-concept approach that lets you test the platform with just a few vendors ⏱️ Saving 5 minutes per invoice might not sound like much… until you multiply it across every vendor, every day. Fintech’s model is about efficiency, visibility, and letting your team focus on guests—not back-office chaos. 🎧 Tune in now and hear why this isn't just another tech pitch—it’s a serious opportunity to cut costs and streamline operations.

As GenAI becomes more widely adopted, more companies are turning to it to improve business operations. In a recent tech blog, Uber’s Engineering team shared how they built a platform that tackles the messy world of invoice processing and turns it into a scalable, consistent, and much more efficient process. The core idea is simple: convert inconsistent, unstructured invoices into clean, structured data using a GenAI-powered pipeline. - It all starts with normalization — invoices arrive as emails, scans, PDFs, or mobile photos — and the system standardizes and enhances them so downstream models receive a clearer signal. OCR then converts these cleaned documents into text and passes them to the intelligence layer. - This is where generative AI makes a real difference. Instead of relying on rigid templates, the system prompts an LLM to “read” each invoice like a human, extracting key fields regardless of layout or country. A deterministic validation layer then checks for logical consistency (such as whether line items actually add up), and any uncertain cases are routed to a human reviewer. With GenAI in the loop, every correction becomes training data, improving the system over time. Combined with continuous monitoring and smart model selection, the platform delivers strong reliability and scalability. This approach offers a practical blueprint for anyone looking to use GenAI to boost operational efficiency. #DataScience #Analytics #GenAI #Efficiency #Scalabiltiy #OperationEfficiency #SnacksWeeklyonDataScience – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gFYvfB8V    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/g_dWwxz2

APIs aren't just endpoints for data engineers - they're the lifelines of your entire data ecosystem. Choosing the Right API Architecture Can Make or Break Your Data Pipeline. As data engineers, we often obsess over storage formats, orchestration tools, and query performance—but overlook one critical piece: API architecture. APIs are the arteries of modern data systems. From real-time streaming to batch processing - every data flow depends on how well your APIs handle the load, latency, and reliability demands. 🔧 Here are 6 API styles and where they shine in data engineering: 𝗦𝗢𝗔𝗣 – Rigid but reliable. Still used in legacy financial and healthcare systems where strict contracts matter. 𝗥𝗘𝗦𝗧 – Clean and resource-oriented. Great for exposing data services and integrating with modern web apps. 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 – Precise data fetching. Ideal for analytics dashboards or mobile apps where over-fetching is costly. 𝗴𝗥𝗣𝗖 – Blazing fast and compact. Perfect for internal microservices and real-time data processing. 𝗪𝗲𝗯𝗦𝗼𝗰𝗸𝗲𝘁 – Bi-directional. A must for streaming data, live metrics, or collaborative tools. 𝗪𝗲𝗯𝗵𝗼𝗼𝗸 – Event-driven. Lightweight and powerful for triggering ETL jobs or syncing systems asynchronously. 💡 The right API architecture = faster pipelines, lower latency, and happier downstream consumers. As a data engineer, your API decisions don’t just affect developers—they shape the entire data ecosystem. 🎯 Real Data Engineering Scenarios to explore: Scenario 1: 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 Challenge: Process 100K+ transactions/second with <10ms latency Solution: gRPC for model serving + WebSocket for alerts Impact: 95% faster than REST-based approach Scenario 2: 𝗠𝘂𝗹𝘁𝗶-𝘁𝗲𝗻𝗮𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Challenge: Different customers need different data subsets Solution: GraphQL with smart caching and query optimization Impact: 70% reduction in database load, 3x faster dashboard loads Scenario 3: 𝗟𝗲𝗴𝗮𝗰𝘆 𝗘𝗥𝗣 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Challenge: Extract financial data from 20-year-old SAP system Solution: SOAP with robust error handling and transaction management Impact: 99.9% data consistency vs. 85% with custom REST wrapper Image Credits: Hasnain Ahmed Shaikh Which API style powers your pipelines today? #data #engineering #bigdata #API #datamining

𝐒𝐭𝐫𝐨𝐧𝐠 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 𝐏𝐚𝐲𝐚𝐛𝐥𝐞 𝐈𝐬 𝐀𝐛𝐨𝐮𝐭 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲, 𝐓𝐢𝐦𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 Many businesses focus on sales and revenue, but a strong Accounts Payable (AP) process helps ensure that every invoice is verified, approved, paid on time, and properly recorded. In this visual guide, I've broken down: ✓ What Accounts Payable means ✓ The complete AP workflow from purchase order to reporting ✓ Internal control checkpoints ✓ Common payables categories ✓ Key performance metrics (KPIs) ✓ Practical bookkeeping and accounting tips Whether you're a business owner, accountant, bookkeeper, finance manager, or accounting student, understanding the AP cycle can help improve financial operations and reduce costly errors. A well-managed Accounts Payable process leads to: ● Better cash flow management ● Stronger vendor relationships ● Improved internal controls ● Accurate financial reporting ● Reduced payment delays and duplicate invoices What is the biggest challenge you face when managing Accounts Payable? Share your thoughts in the comments. 👇 . . . . . . . #AccountsPayable #Bookkeeping #Accounting #Finance #FinancialManagement #AccountingTips #Bookkeeper #Accountant #SmallBusiness #BusinessFinance #FinancialReporting #AccountsPayableProcess #InvoiceManagement #CashFlowManagement #AccountingServices #FinanceOperations #BusinessGrowth #QuickBooks #Xero #ZohoBooks

E2E Accounts Payable steps :- Processing an Accounts Payable (AP) invoice involves several key steps to ensure accuracy, compliance, quality and timely payments. Here’s a standard workflow we can follow: 1. Invoice Receipt: • Receive the invoice via email, mail, EDI, or supplier portal. • Stamp the invoice with the receipt date (if manual). 2. Invoice Verification - Check the following: • Vendor name and address • Invoice number (unique) • Date of invoice • Purchase Order (PO) number (if applicable) • Description, quantity, and price of goods/services • Payment terms • Tax details (GST, VAT, etc.) • Ensure the invoice is not duplicated. 3. Match the Invoice: • 2-way match: (Service-based PO invoices, recurring purchases & subscriptions etc) Invoice vs. Purchase Order • 3-way match: (Material PO Invoice) Invoice vs. Purchase Order vs. Goods Receipt Note (GRN) Confirm:Quantity received = Quantity billed & Price as per PO= Price on invoice 4. Code the Invoice: • Assign appropriate GL (General Ledger) codes, cost centers, and project codes. • Ensure correct accounting treatment (capital vs. expense). 5. Approval Workflow: Route the invoice for internal approval if required (non-PO or exceptions). • Approval levels may depend on the invoice amount or department policy. 6. Enter into Accounting System: • Record the invoice in the AP module of ERP/accounting software. • Capture: • Vendor details • Invoice details • Due date (based on payment terms) 7. Schedule for Payment: • Review payment terms to determine due date. • Set for payment in the payment run. • Verify discounts for early payment, if any. 8. Make Payment: • Pay via approved mode: bank transfer, cheque, ACH, etc. • Record payment in the system. • Send remittance advice to the vendor. 9. Record & update: Record the payment in the accounting system to reflect the transaction and update the accounts payable ledger. 10. Reconcile and Archive: • Reconcile vendor statements with AP ledger. • Resolve discrepancies. • Archive invoice documents as per compliance requirements. #accountspayable #AP #APprocess #E2EAPworkflow #bestpractice #P2P #procuretopay #apsteps #workflow

Managing accounts payable (AP) effectively is a cornerstone of financial stability for businesses. Here are key strategies to enhance AP management: Invoice Processing: - Thoroughly review invoices for accuracy and alignment with purchase orders. - Establish approval workflows to ensure authorized verification before payment. Payment Scheduling: - Monitor payment terms like net 30 or net 60 to meet due dates. - Use various payment methods, such as bank transfers and digital platforms, based on vendor preferences. Cash Flow Management: - Balance timely payments with maintaining sufficient cash reserves for operational needs. - Seize early payment discounts when possible to reduce expenses. Vendor Relationship Management: - Foster transparent communication with vendors for smooth transactions. - Negotiate favorable payment terms to improve cash flow. Record Keeping and Documentation: - Maintain detailed records of AP transactions for future reference, tax compliance, and audits. - Regularly reconcile AP accounts with financial records for accuracy. Automation and Technology: - Implement AP software or ERP systems to streamline processes and enhance efficiency. - Automate workflows for invoice approvals, payment reminders, and reporting to save time. Compliance and Internal Controls: - Ensure AP procedures comply with financial regulations and tax statutes. - Conduct internal audits regularly to prevent fraud, identify inefficiencies, and optimize AP operations.

Yesterday I posted a case study on how we reduced a client's time to contract and invoice by 30% and saved them 5-7 hours per week. Here's exactly how: After posting this yesterday, I'm receiving a lot of messages asking how we did it. I thought I'd make a post about this. Here's exactly how we did it: First, we mapped out the process. Before working with us, the company relied on a fragmented and unreliable system. Their order-taking, contracting, and invoicing processes lacked automation, leading to delays, errors, and a poor experience for both their team and clients. Then we optimized it. We designed a fully integrated workflow that begins with a Typeform order form, which feeds directly into Monday and Airtable to manage requests, generate contracts, and track invoices with a Softr interface for easy access to order updates and relevant documents. Then we implemented. The new system helped the sales team save approximately 5-7 hours per week by streamlining client intake and ensuring name cohesion across tools. It also reduced the time it took to send invoices and contracts by about 30%. Finally, we optimized again after implementation. Key features include automated contract and invoice generation, real-time order tracking, and a client-facing portal built with Softr. All of which improved efficiency, accuracy, and the overall client experience. The result? A centralized, user-friendly experience that eliminated manual steps and improved operational efficiency. The takeaway: Don't just automate. Optimize first, then implement, then optimize again based on real usage. Follow me Luke Pierce for more automation case studies like this.