Solutions / AR Automation
AR Automation - Automated accounts receivable and revenue reconciliation

Revenue reconciliation that runs itself

120+ hours/month on manual reconciliation. VAL automates matching across POS, delivery, and bank — then AI agents generate diagnostics, answer questions, and catch what humans miss.

Trusted by leading restaurants

Yonehachi Logo
Sushi Jin Logo Clean
Coconut Queen Logo Clean
Fresh Kitchen Logo
ParadiseClassic Removebg Preview
Koi Signature Logo
Saladstop Logo
Wagyu Jin Logo

AI skills that diagnose your revenue

VAL matches every transaction automatically. These AI skills report on the results — revenue diagnostics, variance breakdowns, and platform performance in seconds.

How it works

Three layers of automated matching. Zero manual spreadsheets.

Collects from every source

Collects from every source

Stop downloading reports and copy-pasting into Excel. VAL connects to 90+ platforms — POS systems, delivery apps, payment processors, banks — and collects data automatically. Drop reports into VAL Drive or connect via API. No reformatting, no manual entry.

  • 90+ pre-built connectors (GrabFood, Foodpanda, NETS, FavePay, mall vouchers, banks)
  • Drop reports you already download—VAL reads the format automatically
  • Email extraction and AI scanning for PDFs and unstructured reports
Matches across every layer

Matches across every layer

VAL matches transactions across three layers: transaction-level (which order is wrong?), daily-level (total POS vs settlement), and outlet-level (company-wide status). Validates commissions, tracks settlements to bank deposits, detects timing differences.

  • POS vs delivery settlements: Match individual orders, validate commission calculations
  • Settlements vs bank deposits: Track expected deposits, flag overdue payments, explain fees
  • Payment method reconciliation: NETS, credit cards, e-wallets matched to POS data
Surfaces what needs attention

Surfaces what needs attention

VAL does the heavy lifting — matching thousands of transactions automatically — so you only focus on what needs attention. Variances are pre-filtered by materiality. Every exception shows which transactions are off, by how much, and why.

  • Pre-filtered exceptions: Only see variances above your thresholds
  • Drill-down to source: Click any exception to see the exact transactions causing it
  • Export to Excel or review in dashboard—work in the format you prefer
Generates GL-ready entries

Generates GL-ready entries

VAL generates accounting entries from reconciled data — receivables, cash entries, and journal entries. Map your chart of accounts once, and it applies the mapping to every transaction. Export to Xero, QuickBooks, Navision, NetSuite, or Excel.

  • One-time COA mapping: Revenue, AR, bank accounts by outlet and channel
  • Auto-generated entries: Receivables, cash receipts, revenue journals
  • Export formats: Excel, CSV, or direct integration with your accounting system

Connects to your revenue sources and accounting systems

Aigen
HPB
FomoPay
NETS
Hashmato
EZ-Link
Revel Systems
NinjaOS

What you get

Automated reconciliation as the foundation. AI agents on top for diagnostics, reporting, and ad-hoc questions about your revenue data.

Time savings illustration

120+ hours/month back to your team

Before VAL: - Download reports from 10+ platforms - Copy-paste into Excel spreadsheets - Maintain complex formulas and lookups - Hunt for variances row by row - Prepare GL entries manually

With VAL: - Data collected automatically - Matching runs in the background - Exceptions surfaced, not hunted - GL entries generated, not prepared

Your team focuses on: Reviewing exceptions, chasing unreconciled items, month-end approval—not data entry.

Variance detection illustration

Catch 3P platform errors you'd never find manually

The problem: Industry data shows 2.5-3% of 3P delivery revenue is caught up in disputes—chargebacks, commission discrepancies, hidden fees. Manual reconciliation can't catch these at scale.

What VAL catches: - Commission overcharges (platform applied 35% instead of 30%) - Missing orders (platform didn't report, but POS has it) - Settlement shortfalls (deposit doesn't match statement) - Hidden fees (bank charges, platform adjustments)

The ROI: For a 25-outlet operation with $3M annual 3P revenue, catching just 1% of errors = $30K recovered annually.

Single source of truth illustration

One reconciled dataset for all revenue

The problem today: - POS data in one system - 3P platforms in separate portals (each with different formats) - Bank/card settlements elsewhere - Reconciliation in Excel (breaks when staff leave)

With VAL: - All sources aggregated in one place - Automated matching: Sales ↔ Settlements ↔ Bank - Always current—no manual refresh needed - Accounting-grade accuracy

The benefit: No more "which spreadsheet has the latest numbers?" One dataset. One truth. Ready for accounting.

Scalability illustration

Add outlets without adding headcount

The problem: Every new outlet adds reconciliation work. More platforms, more reports, more matching, more time.

With VAL: - New outlet = same effort (VAL handles the volume) - New platform = add connector, not staff - Staff turnover = no knowledge loss (logic is in VAL, not Excel)

What this means: - 10 outlets → 50 outlets: No additional reconciliation headcount - Staff leave: No scramble to rebuild spreadsheets - Seasonal peaks: Handle volume without overtime

Ready to deploy your AR agent?

AR automation insights

How automation and AI are transforming revenue reconciliation, delivery platform settlements, and accounting. Delivered monthly.

Please provide your email address if you'd like to receive our newsletter. You can unsubscribe at any time.