ReconPe vs Excel reconciliation
Excel is great at exact lookups. It cannot score match confidence, flag commission variance, track COD remittance ageing, or remember what you dismissed last cycle. ReconPe does all four — and runs in minutes instead of hours.
| Capability | Excel / Google Sheets | ReconPe |
|---|---|---|
| Time per reconciliation run | 2–4 hours (manual VLOOKUP + visual diff) | Minutes, not hours |
| Match confidence scoring | Match or no-match. No confidence. | Bayesian 0–100 score with field-level rationale |
| Fuzzy matching (typos, format drift) | Manual cleanup required | Cascade: exact key → edit-distance fuzzy → token overlap |
| Commission variance detection | Rarely caught — variance is a few rupees per row | Rate-card aware, flags per-order variance automatically |
| COD remittance tracking | Manual ageing analysis | Auto-tracked with shortfall alerts |
| Handles multiple marketplaces at once | Separate sheet per platform | Amazon, Flipkart, Meesho, Razorpay in one view |
| Exception workflow | Colour-coded cells, no status tracking | Typed exceptions, severity, assignee, resolution trail |
| AI exception resolution | Not available | AI suggests resolution + explains rationale |
| Version history & audit trail | OneDrive / Google version, easy to lose | Versioned runs, immutable exception log |
| Collaboration | One editor at a time in practice | Multi-user, role-based review (ANALYST / FINANCE / COMPLIANCE) |
| Cost | Free (plus hours of analyst time) | Free tier · paid from ₹3,999/mo |
Time estimates reflect typical manual marketplace reconciliation cycles, 2026.
What runs underneath that a spreadsheet cannot
A spreadsheet is excellent at the one thing reconciliation sometimes needs — an exact lookup on a shared key. Real settlement data rarely cooperates: the two sides do not share a clean ID, the amounts do not tie one-to-one, the order references drift between systems, and a coloured cell is not an audit trail. When a key is messy, ReconPe degrades gracefully — exact match, then edit-distance fuzzy for typos and format drift, then overlap on the words in a free-text narration — before anything is written off as unmatched. Underneath that are four things a formula cannot do:
It matches when there is no clean key
A spreadsheet lookup needs a shared ID. A bank statement and a cash book rarely have one. ReconPe pairs a +₹25,000 entry in your book with a −₹25,000 line on the statement on magnitude and a few days' window — no key required — inside a tight ±₹1 band first, then a wider tolerance for fee-netted near-misses. The same approach reconciles intercompany books: one entity's receivable against the other's payable.
It finds the many-to-one settlements
The case that eats an afternoon in Excel: one ₹4,17,300 payment that clears eleven invoices. ReconPe searches for the subset of open items that sums to the payment — within a small tolerance and a date window — instead of you trying combinations by hand. It is how a batch of invoices ties to one GL deposit, or a run of vendor bills to a single bank debit.
It scores confidence — and refuses to be fooled
Every pair gets a 0–100 score from field-level probabilities, not a binary match. A row where the reference and date line up but the amount is off by 8% will not sail through as a high-confidence match — the amount gap caps the score and sends it to review. And a column that holds the same value on every row carries no signal, so it is down-weighted rather than inflating the match.
Breaks become a workflow, not a colour
A red cell has no owner, status, or history. Here every unmatched item is a typed exception with a severity, an assignee, an approval chain by role, and an immutable log — the difference between 'we think it is reconciled' and a trail you can hand to an auditor.
None of this is a faster VLOOKUP. It is the work that begins after the lookup fails — which, on settlement data, is most of the rows.
Frequently asked
We already have Excel templates that work. Why switch?
Excel templates work until your volume grows, your marketplace list grows, or commission variance eats your margin. Most teams reach that tipping point around 500–1,000 monthly orders. Beyond that, analyst hours spent on reconciliation grow faster than revenue — and variance caught late becomes unrecoverable.
What does ReconPe catch that Excel misses?
Three things consistently: (1) small commission variance that falls below visual-diff thresholds, (2) format drift where order IDs get slightly mangled between source systems, and (3) COD that was delivered but never remitted, once it ages past the normal T+2 to T+7 settlement lag. Each of these costs real money and Excel doesn't flag them.
Can I keep using Excel alongside ReconPe?
Yes. ReconPe exports audit-ready CSV/Excel — many teams run ReconPe for matching and exception work, and keep Excel for their final MIS summary. You're not locked in.
How long does it take to onboard?
A first reconciliation run takes minutes — upload source and target files, let schema detection run, review the suggested rule set, kick off matching. No implementation project. Most teams ship their first clean reconciliation in under 30 minutes on day one.
Do I need to be technical to use ReconPe?
No. The wizard walks finance analysts through file upload → schema review → rule review → reconciliation in four steps. The AI handles column mapping and rule suggestions behind the scenes.
Is there a free tier?
Yes — 5 free reconciliations across 1 marketplace, no card required. Enough to run a side-by-side pilot against your current Excel workflow.
Run a reconciliation in minutes
Free tier — 5 free reconciliations, 1 marketplace, no card required. Upload your next Amazon or Flipkart settlement and compare the output to your spreadsheet.
Try it free