Sizlix OMS is the audit layer your finance team has been asking for. Every Shopify order is followed through every payment gateway, every settlement, every refund — all the way to the actual bank credit. No more guessing whether a Gokwik UTR matched the right order. No more spreadsheet hell at GST filing time.
Authorised accounts only. Contact RJA if you need access.
Your customers pay through half a dozen routes — Gokwik, Snapmint, iLoan, BlueDart COD, Delhivery COD, store credit, wallet refunds. Each one settles into your bank on its own schedule, in its own batch, minus its own fees. By the time your accountant tries to match the bank statement to the orders, the trail is cold.
Excel sheets pulled monthly, manually matched against bank statements. Errors compound. GST notices follow.
Refunds that were processed but never matched to invoices. Gateway fees you didn't realise were deducted. Money sitting unclaimed.
Every order has a chain. Every chain ends at a bank credit. Every mismatch is visible. GST filings export in one click.
OMS connects to Shopify, ingests gateway settlement files and bank statements, then stitches them together with a Bank Matching Number (BMN) that uniquely identifies each money trail.
Every order, line item, refund event and timeline note flows in automatically. A chain identifier (SHO-NNNNN) is assigned at import and stays with the order through its entire life.
Gokwik, Snapmint, iLoan, BlueDart COD, Delhivery COD, Pine Labs — each provider's settlement report goes in via drag-and-drop upload. The system parses, dedupes and links each row to its order.
Your SCB / ICICI statement is parsed row-by-row. Narration rules auto-classify each credit by gateway (Gokwik, Snapmint, COD partner, wallet refund reversal…). Every credit gets a BMN.
Priority: UTR → order_id → order_number, with ±Re.1 tolerance. Never amount-only. Each gateway row gets a BMN; each order knows which BMNs paid for it. The Order Lifecycle screen shows the complete chain — gaps highlighted in red.
The audit chain for every purchase. Filter by status (Stuck, Pending Bank, Amount Gap…), expand any row to see every leg.
UTR-first, order-id fallback, order-number last resort. Tolerant of ±Re.1 rounding. Manual override available when needed.
Accrual-basis sales, refund-month credit notes, B2B / B2C splits, HSN summary — one click to download the analytical workbook.
Amount gaps, refund gaps, pending bank credits, money retained on cancellations — surfaced for triage, not buried in a CSV.
Bank statements, gateway reports, manual refund logs — all via the browser. No SQL, no scripts, no Excel macros.
Operators upload & classify. Client admins manage their team. CAs see read-only Reports & Compliance. Auditable end-to-end.
Seven canonical reports, grouped by intent. Each is a pure aggregation over the matched data — what you see is what was reconciled, nothing fudged.
High-level KPIs — orders, revenue, refund rate, gateway split.
Chains by status — Stuck, Amount Gap, Refund Gap. Triage-ready.
Refunds by provider, fees taken vs returned, wallet payout audit.
Gateway batches matched against bank credits. Match rate visible.
Accrual-basis sales, credit notes, B2B / B2C / HSN summaries.
UTM-tagged orders, channel ROI, campaign performance.
Money Retained Review, Credit Note Date Conflicts, Refund Allocation Review — the auditor's checklist baked in.
Sizlix OMS is the system Rohit Jindal & Associates uses internally to audit our own e-commerce clients — now offered to the brands themselves. Every workflow mirrors how a real CA actually closes a month: trace each rupee, allocate refunds line by line, reconcile what the gateway promised vs what the bank received.
No SaaS gloss. No "AI-powered" handwaving. Just the audit trail you wanted your finance team to keep, kept automatically.
Sign in with your authorised Google account. New to OMS? Contact Rohit Jindal & Associates to get your team onboarded.
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