Taxilla

𝗬𝗼𝘂𝗿 𝗙𝗹𝗶𝗽𝗸𝗮𝗿𝘁 𝗽𝗮𝘆𝗼𝘂𝘁 𝗶𝘀𝗻'𝘁 𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝗶𝗹𝘆 𝘆𝗼𝘂𝗿 𝗮𝗰𝘁𝘂𝗮𝗹 𝗿𝗲𝘃𝗲𝗻𝘂𝗲. Revenue leakage can hide in: → Overcharged fees → Unmatched returns → Short payments → Unresolved claims → Missing bank credits The problem with manual reconciliation is that finance teams often spot-check instead of matching every transaction. A 90-day payout audit gives you an order-level view of what was owed, what was paid, and what remains recoverable. 𝗙𝗶𝗻𝗱 𝘁𝗵𝗲 𝗴𝗮𝗽𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲𝘆 𝗯𝗲𝗰𝗼𝗺𝗲 𝗹𝗼𝘀𝘁 𝗿𝗲𝘃𝗲𝗻𝘂𝗲. Read the full audit guide: https://lnkd.in/dRCDdDkp

𝗔𝗿𝗲 𝘆𝗼𝘂 𝘀𝘂𝗿𝗲 𝗙𝗹𝗶𝗽𝗸𝗮𝗿𝘁 𝗽𝗮𝗶𝗱 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗶𝘁 𝗼𝘄𝗲𝗱? A payout can look correct at the total level while hiding leakage inside commissions, shipping fees, collection charges, returns, claims, and other deductions. A proper Flipkart payout audit compares: • What Flipkart should have paid • What Flipkart actually paid • What reached your bank • Where the difference occurred The smarter approach? Audit 𝟵𝟬 𝗱𝗮𝘆𝘀 𝗼𝗳 𝗿𝗲𝗮𝗹 𝘀𝗲𝘁𝘁𝗹𝗲𝗺𝗲𝗻𝘁 𝗱𝗮𝘁𝗮, not a sample spreadsheet. Read the full guide to understand what a Flipkart leakage report should reveal — and how to get a free audit. https://lnkd.in/dRCDdDkp

Most ecommerce reconciliation RFPs ask the wrong questions. “Which marketplaces do you integrate with?” “Do you have dashboards?” “Do you provide support?” Those matter—but they don't tell you whether the software can actually close your books. A stronger RFP tests: 𝗠𝗮𝘁𝗰𝗵𝗶𝗻𝗴 → 𝗧𝗮𝘅 → 𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝘀 → 𝗘𝗥𝗣 → 𝗔𝘂𝗱𝗶𝘁 → 𝗦𝗰𝗮𝗹𝗲 And the most important question? 𝗪𝗶𝗹𝗹 𝘁𝗵𝗲 𝘃𝗲𝗻𝗱𝗼𝗿 𝗿𝘂𝗻 𝘁𝗵𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗮𝗴𝗮𝗶𝗻𝘀𝘁 𝘆𝗼𝘂𝗿 𝗮𝗰𝘁𝘂𝗮𝗹 𝗺𝗲𝘀𝘀𝘆 𝘀𝗲𝘁𝘁𝗹𝗲𝗺𝗲𝗻𝘁 𝗱𝗮𝘁𝗮 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝗶𝗴𝗻? That is where the real capability becomes visible. Read the complete 20-question RFP checklist or book a Taxilla demo. https://lnkd.in/dcG8pjTh

Choosing ecommerce reconciliation software? Don’t let a polished demo make the decision for you. Your RFP should ask: • Does it reconcile at settlement-line level? • Can it handle partial refunds and returns? • Does it manage GST, TCS and TDS? • Can it post directly to your ERP/GL? • Does it maintain a complete audit trail? • Will the vendor test it using your real settlement data? The real test isn't the demo. It’s whether the software can handle the messy transactions your finance team is already struggling with. Read the full guide: “Ecommerce Reconciliation Software RFP: 20 Key Questions.” Or book a Taxilla demo to see how it works with real reconciliation scenarios. https://lnkd.in/dcG8pjTh

𝗬𝗼𝘂𝗿 𝗘𝗥𝗣 𝗰𝗮𝗻 𝗿𝗲𝗰𝗼𝗿𝗱 𝗿𝗲𝗰𝗲𝗶𝘃𝗮𝗯𝗹𝗲𝘀. 𝗕𝘂𝘁 𝗰𝗮𝗻 𝗶𝘁 𝗿𝘂𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆? Enterprise AR teams often still depend on spreadsheets, manual follow-ups and fragmented dispute data. A modern collections strategy should automate routine work while helping collectors focus on high-risk accounts. That means connecting 𝗱𝘂𝗻𝗻𝗶𝗻𝗴 + 𝗰𝗮𝘀𝗵 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 + 𝗰𝗿𝗲𝗱𝗶𝘁 + 𝗱𝗶𝘀𝗽𝘂𝘁𝗲𝘀 + 𝗱𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝘀 in one workflow. See what a modern B2B collections strategy looks like. Read the full article or explore Taxilla's Invoice-to-Cash solution. https://lnkd.in/d5apbR9U

𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝘀 𝗻𝗼𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗵𝗮𝘀𝗶𝗻𝗴 𝗶𝗻𝘃𝗼𝗶𝗰𝗲𝘀. For enterprise finance teams, effective B2B collections requires a connected process across: • Risk-based customer segmentation • Automated dunning • Cash application • Credit management • Dispute & deduction resolution When these processes operate in silos, DSO rises and collectors spend more time chasing than collecting. The better approach? Build collections into a connected Invoice-to-Cash strategy. Read the full guide to building a modern B2B collections strategy. https://lnkd.in/d5apbR9U

Is a 95% auto-match rate always better than 85%? Not necessarily. For finance teams, transaction matching performance shouldn't be evaluated by one percentage alone. A high match rate means very little if: • Matches frequently need to be reversed • Analysts still touch a large portion of transactions • Exceptions remain unresolved for too long • Material unmatched items aren't prioritized • Finance can't clearly understand why a match was made A more useful performance view combines auto-match rate with metrics such as: First-pass match rate Manual touch rate Exception volume Exception aging Average resolution time Reopened or reversed matches Value of material unmatched transactions The objective isn't simply to make the auto-match number as high as possible. It's to reduce repetitive manual work without hiding uncertainty or weakening review. For Controllers and finance leaders, the better question may be: Are we matching the right transactions automatically and giving the right exceptions enough attention? That's a stronger measure of reconciliation effectiveness. https://lnkd.in/gXv4pCKu #TransactionMatching #FinanceAutomation #Controllers #FinancialClose #AccountingAutomation #FinanceTransformation

𝗬𝗼𝘂𝗿 𝗰𝗹𝗼𝘀𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝘀𝗮𝘆𝘀 𝟵𝟱% 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲. 𝗕𝘂𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝗰𝗹𝗼𝘀𝗲? Most close tasks may be done. But finance teams can still be waiting on: → Unmatched reconciliation items → Journal approvals → Supporting evidence → Unresolved exceptions A task checklist shows progress. It doesn’t always show whether the accounting is actually ready for sign-off. The answer isn’t adding more tasks. It’s connecting reconciliations, journals, exceptions, and close activities so teams can see what is really holding up the close. Even across Microsoft Dynamics 365 and other finance systems. Read the full blog to see how a connected financial close process improves close readiness: https://lnkd.in/g_S3uTxD #FinancialClose #FinancialController #MonthEndClose #AccountReconciliation

𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗗𝗦𝗢 𝘀𝘁𝗮𝘆 𝗵𝗶𝗴𝗵 𝗮𝗳𝘁𝗲𝗿 𝗮 𝗺𝗮𝗷𝗼𝗿 𝗘𝗥𝗣 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻? Because automating accounting ≠ automating Accounts Receivable. Modern AR requires intelligent: • Cash application • Deduction management • Credit management • Collections Keep your ERP as the system of record. Extend it with 𝗜𝗻𝘃𝗼𝗶𝗰𝗲-𝘁𝗼-𝗖𝗮𝘀𝗵 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻. Read the full blog or book a Taxilla demo.

𝗬𝗼𝘂𝗿 𝗘𝗥𝗣 𝗶𝘀𝗻'𝘁 𝗯𝗿𝗼𝗸𝗲𝗻. 𝗬𝗼𝘂𝗿 𝗔𝗥 𝗻𝗲𝗲𝗱𝘀 𝗺𝗼𝗿𝗲. SAP, Oracle, and NetSuite are excellent systems of record. But AR teams still struggle with: → Unapplied cash → Deduction backlogs → Reactive collections → Outdated credit decisions The answer isn't replacing your ERP. It's adding a specialist 𝗜𝗻𝘃𝗼𝗶𝗰𝗲 𝘁𝗼 𝗖𝗮𝘀𝗵 layer built for AR. Read the full blog to see where ERP AR automation falls short. https://lnkd.in/dJSB4NQB