Comparison
Faktry vs Excel: Why Excel Works — Until It Doesn't
Excel is fine for a factory doing 20 orders a month. At scale, it quietly breaks. Here's when to move, and how to migrate without losing your data.
Excel is the right tool for small chemical factories — under ₹5 crore revenue, under 15 batches a month, no audit exposure. Above that, the breakpoints are predictable: concurrent editing collapses, batch lineage doesn't exist when a customer complaint lands, physical inventory never matches the sheet, and GPCB audit prep eats days. Faktry imports your Excel data cleanly, so the migration doesn't cost you the history you've built up.
Excel is underrated. It's flexible, familiar, and costs nothing. For a 5-person factory running 15 orders a month, Excel plus paper registers is genuinely fine. The problems start at predictable scale points — 2+ concurrent users, audit trails, photos, inventory sync, offline shop floor, QC. Most chemical MSMEs hit those walls between ₹5–10 crore revenue.
People also ask
- Can Faktry import my existing Excel data?
- Yes. During your 30-day free pilot, we help you import product master, recipes, inventory balances, customer list, and historical orders from your Excel files. Most factories import 3–5 years of product and customer history cleanly in a few hours. Batch-level history usually doesn't exist in Excel at the granularity Faktry tracks, so that's the one thing that starts fresh.
- Isn't Excel more flexible than any software?
- Yes, and that's exactly the problem once you're past a certain size. Flexibility without discipline means every supervisor has their own version of the inventory sheet, recipes exist in 4 different files, and 'truth' is wherever the most recent emailed attachment lives. Faktry is less flexible by design — it imposes a single source of truth. That constraint is what turns factory data from folklore into insight.
- What about Google Sheets? That's free and multi-user.
- Google Sheets solves concurrent editing but nothing else. You still have no audit trail, no offline shop floor, no photo capture, no QC enforcement, no inventory auto-decrement, no batch traceability. Google Sheets is genuinely better than desktop Excel for collaboration, but it's still a spreadsheet — it's not a manufacturing system.
Side-by-side
| Faktry | Excel | |
|---|---|---|
| Software cost | ₹8,999/month | Free (Google Sheets) or ₹6,000/user/year (Microsoft 365) |
| Concurrent editing | Whole-team access, real-time sync | Google Sheets: yes but breaks at scale. Excel: one editor at a time |
| Audit trail | Complete log — who changed what, when | None by default |
| Photo documentation | Built-in, auto-compressed, offline-capable | Manually paste images; files balloon, photos break |
| Offline shop-floor use | Native, auto-sync when connected | Requires saving files to USB or paper |
| Inventory auto-decrement | Automatic by batch actuals | Manual entry — always drifts from reality |
| Quality control templates | Reusable templates, auto-trigger on batch completion | Free-form, no enforcement, loses discipline fast |
| Mobile shop-floor app | Designed for operators, QR scan | Mobile Excel exists but painful for data entry |
Is Excel actually bad for a chemical MSME?
Half the sales calls we take start with an apologetic “we still run everything in Excel.” The tone suggests the owner thinks this is something embarrassing to confess.
It isn’t. Excel is remarkable software. For the right factory size, it’s the correct tool. Before anyone recommends you move to Faktry — or any operations platform — they should ask whether you actually need to.
Small factory, 5 people, 15 orders a month, single product line, no audits on the horizon? Stay on Excel. Don’t waste ₹1 lakh a year on software that solves problems you don’t have. Come back to us at ₹10 crore revenue.
The real question: where does Excel break?
Excel’s strength is flexibility — every cell is a blank canvas. Its weakness is the same thing. Once you need discipline — a single source of truth, structured workflows, enforcement — Excel starts fighting you.
Here are the specific breakpoints we’ve seen chemical and batch manufacturers hit:
Breakpoint 1: Two people need to edit the same sheet
The classic first crack. The supervisor has “Inventory Tracker v7.xlsx” open on his desktop. The storekeeper has “Inventory Tracker_FINAL_updated.xlsx” on hers. Nobody knows which is current. Google Sheets helps with concurrent editing, but brings its own problems at scale.
Breakpoint 2: A customer complaint comes in three weeks after dispatch
“The Reactive Blue 19 batch you sent on 15th March has off-shade. What went wrong?”
In Excel, you pull up the production log. You see quantities and dates. You don’t see which H-acid lot was used, which operator ran the batch, what the QC results looked like, whether anyone took a photo of the filter cake. You call the supervisor. He calls the operator. They reconstruct a story from memory. It rarely holds up.
Breakpoint 3: GPCB audit or GMP inspection is scheduled
Excel can give you an inventory ledger. It can’t give you photo documentation, batch lineage, raw material lot traceability, or tamper-evident audit logs. Preparing for an audit on Excel means 2–3 days of a supervisor typing up a story — and the inspector can tell the difference between authentic records and post-hoc cleanup.
Breakpoint 4: Inventory counts never match books
This one creeps. You think you have 250 kg of vinyl sulphone in drum 14. Physical count reveals 180 kg. The 70 kg wasn’t lost — it was consumed across 8 batches last month that nobody entered into the inventory sheet. Multiply across 15 raw materials, and year-end reveals ₹15–30 lakh of “inventory discrepancy” nobody can reconcile.
Faktry solves this by auto-decrementing inventory from actual batch consumption. The gap between “books” and “reality” closes to zero.
Breakpoint 5: Photos don’t live in Excel
Modern manufacturing quality depends on visual records — filter cake photos, shade references, equipment condition, packaging state. Excel can technically embed images, but files bloat to 500 MB, images break across versions, and no operator is going to paste a photo into Excel from their phone in the middle of a batch.
Breakpoint 6: Shade matching requires historical references
In dye units especially, customer repeat orders demand shade consistency. Without a digital shade library with photos, every repeat becomes a guess. Excel can store a filename. It can’t show you last batch’s photo next to today’s sample on mobile.
Breakpoint 7: OEE and yield variance are invisible
You can calculate OEE in Excel in theory. Nobody does. The data entry overhead kills the exercise. Result: you don’t know that reactor RX-02 runs 18% lower yield than RX-01, or that shift B consistently produces 3% more scrap than shift A. These insights stay buried for years.
What happens when you migrate from Excel to Faktry?
We’ve helped Gujarat chemical units move off Excel. The shape of the journey is consistent, even if the timing varies by team.
Getting started. Master data, recipes, customer list, and current balances come in during the free pilot. Real orders flow through Faktry within days of kickoff.
The trust moment. Teams usually stop keeping parallel Excel sheets after the first “the numbers don’t agree” — and Faktry is right, Excel is wrong. That’s when people start reaching for Faktry instead of the spreadsheet.
The first insight. Somewhere in the early weeks, an operational question that Excel had been hiding for years becomes answerable in seconds. Yield gap between two reactors, scrap drift on one shift — whatever it is, it earns the system its place.
The long tail. Old Excel files turn into archives nobody opens. Shop-floor discipline tightens because structured workflows enforce it. The owners we talk to at month 6 rarely want to go back — the common line is “I can’t believe we ran like that for 10 years.”
The migration is safe
Two things MSME owners worry about when considering a migration:
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“What if we lose our 5 years of Excel data?” You don’t. We import the structured parts and the raw files sit untouched on your drive. Even if you cancel Faktry, your Excel history is exactly where it was.
-
“What if my team can’t learn a new system?” Operators learn Faktry faster than Excel, because the workflow is designed around their existing paper-based muscle memory — print a card, scan a QR. Office staff find it more structured than the spreadsheet chaos they’ve been managing. Nobody we’ve onboarded has needed more than a few hours of training.
When should you stay on Excel vs move to Faktry?
Stay on Excel if:
- Under ₹5 crore revenue and comfortable with current pace
- Under 15 batches a month
- Single product line
- No audit or compliance exposure
- Team of fewer than 5 people touching production data
Move to Faktry if:
- 2+ people need to edit the same data daily
- Customer complaints or audits regularly expose data gaps
- Physical inventory counts show ₹5 lakh+ discrepancies
- You can’t easily pull batch history for the last 3 months
- Shop floor runs on paper and WhatsApp, office runs on Excel, and they don’t agree
- You’d like to see OEE, yield variance, or batch analytics but the spreadsheet work kills the urge
If three or more items in the second list apply, the ROI math works out inside month 2. The 30-day pilot costs you nothing to verify.
Our verdict
If your factory is small and simple, stay on Excel — don't over-tool. If you've hit any of the breakpoints below (concurrent editing, lost batches, audit chaos, inventory always wrong), migrate. Faktry imports your Excel cleanly so the 3 years of data you've built up isn't lost.