ClearOps turns scattered restaurant data into a daily operating P&L with assigned actions — across sales, purchases, stock, vendors, wastage, and margin leakage.
Built for restaurant owners who want to catch leakage early, assign fixes, and focus on expansion.
POS has sales. Tally has accounts. Invoices sit on WhatsApp. Inventory is half-maintained. Reports come late. By the time the owner sees the truth, the mistake has already continued for days.
Small rate changes across chicken, paneer, oil, tomato, packaging, or staples silently reduce margins before anyone notices.
Excess purchase, spoilage, over-prep, and emergency buying hit profit before they show up in month-end reports.
Inventory systems exist, but real kitchens rarely maintain them perfectly every day. The number on screen is rarely the number on the shelf.
A ₹3/plate leak on a high-volume dish can become ₹27,000/month in one outlet — and over ₹2.7L across ten.
Same dish, same brand, different outlet — but cost behaviour quietly changes. The average looks fine. One outlet is bleeding.
Even when a leak is noticed, it is not clearly assigned, tracked, and closed. It floats from WhatsApp group to WhatsApp group.
The return is not just savings. It is leakage caught early, fixes assigned to the right people, owner time freed, and expansion no longer blocked by daily firefighting.
Vendor drift, over-ordering, wastage, stock mismatch, and dish-level margin leakage become visible before month-end — when fixing them still changes the P&L.
Every issue has impact, owner, recommended action, due date, and status. Insight without an owner is not control. ClearOps closes that gap.
Accounting P&L tells you what happened last month. ClearOps shows what is going wrong while the month is still alive — so you can still act on it.
Stop chasing reports and people. Manage by exception. Focus on expansion instead of reconstructing yesterday's purchases from WhatsApp threads.
ClearOps gives owners a daily operating P&L and issue queue — not another dashboard to interpret. Open WhatsApp. Know your business.
Not month-end accounting. A daily operating view of what's flowing in, what's flowing out, and where the cost picture is shifting outlet by outlet.
| Driver | Spend | Change | Status |
|---|---|---|---|
| Chicken | ₹3.84L | +₹32,400 (+9.2%) | Tracking |
| Paneer | ₹1.92L | +₹14,800 (+8.3%) | Review |
| Tomato | ₹68,400 | +₹12,400 (+22.1%) | Assigned |
| Packaging | ₹54,200 | −₹3,800 (−6.5%) | Stable |
Every leakage gets attributed: what changed, where, why, and how much it's costing you per month. No more guesswork at month-end review.
A dashboard alone says "here is data". The ClearOps issue queue says "here is the action — and here is who owns it". This is the difference between visibility and control.
| Issue | Impact | Owner | Status |
|---|---|---|---|
| Tomato vendor +₹8/kg | ₹12,400/mo | Purchase | Assigned |
| Kadai Chicken portion drift | ₹28,000/mo | Outlet · Indira'gar | Assigned |
| Chicken purchase > usage | ₹18,400/mo | Unassigned | Needs owner |
| Paneer reorder risk | Stockout risk | Purchase | Assigned |
| Packaging vendor switch saved ₹3,800 | +₹3,800 | Purchase | Fixed |
Most kitchens cannot maintain perfect daily stock entry. ClearOps doesn't require it. We build stock confidence and reorder risk from invoices, sales, and occasional counts.
| Item | Est. stock | Days cover | Confidence | Reorder |
|---|---|---|---|---|
| Chicken | 32–38 kg | 2.1 days | High | Order today |
| Paneer | 8–12 kg | 1.2 days | Medium | At risk |
| Basmati | ~85 kg | 6.4 days | High | OK |
| Tomato | 14–18 kg | 1.8 days | Medium | Order today |
| Packaging | ~1,200 units | 4.5 days | Low | Verify count |
No new software for your team. No clean data assumptions. ClearOps works with how restaurants actually run — invoices on WhatsApp, exports from POS, screenshots, messy bills.
Forward invoices, bills, POS exports, stock sheets, vendor messages, screenshots, or Excel files — exactly how your team already shares them.
Any format acceptedWe clean vendors, items, dates, rates, outlets, categories, and sales references — turning chaos into a queryable picture.
Sales, purchases, cost drivers, vendor movement, stock confidence, and wastage signals — delivered on WhatsApp every morning.
Live in days, not monthsEvery issue gets impact, owner, recommended action, due date, and status. Insights become assignments.
As data builds, ClearOps detects vendor drift, dish margin leakage, portion/wastage signals, and outlet behaviour patterns.
After 2–3 weeks of dataOwners stop chasing every number. Focus only on what needs action — and free time for the things that grow the business.
Tally, POS, inventory systems, and reports are useful. But they do not turn daily restaurant chaos into assigned operational action. ClearOps sits before them as the daily operating control layer.
We don't ask for a clean dataset. Send what you have, in whatever form it already exists. We do the structuring.
If I had this, I could assign tasks to people, manage ops easily, and focus on expansion.
Operators did not just ask for alerts. They asked for complete operating P&L and wastage analysis.
Early analyses surfaced vendor price movement, purchase anomalies, outlet-level cost signals, and dish-level leakage patterns hidden in normal reporting.
ClearOps will turn your invoices and sales data into a first operating P&L, cost driver view, stock confidence picture, and issue queue. In week one.
POS, Tally, inventory modules, accountants, and Excel all exist. Yet owners still ask: What changed? Where is money leaking? Who is responsible? What needs to be fixed today? ClearOps was built to answer those questions every morning.
Every insight should connect to money, action, or control. If it doesn't, it shouldn't be on screen.
Real restaurants have late invoices, messy bills, imperfect inventory, and WhatsApp chaos. ClearOps is built for that — not for an idealised version of it.
Every issue should have impact, owner, action, and status. Reports summarise. ClearOps assigns.
Month-end P&L explains history. ClearOps helps you run the month while it is still alive.
"We're building the daily operating control layer we wish every restaurant owner had — one that works on the messy data they already have, surfaces where profit is actually leaking, and assigns every issue to an owner. So the month gets run while it's still alive."