Sales, supply chain, finance and executive modules running on one connected model of SAP, Odoo, your CRM, WhatsApp and Excel. Ask anything. It analyses, recommends, and acts once you approve.
SAP here, Odoo there, the rest in Excel, WhatsApp and a PDF someone emails once a month. To answer one question your team opens eight windows, and no two of them agree.
| SKU | DEPOT | ERP | COUNT |
|---|---|---|---|
| PC-4102 | KHI | 7,904 | 7,904 |
| PC-2218 | LHE | 5,266 | 5,266 |
| PC-8871 | ISB | 1,204 | ? |
Connection refused. The nightly job has not completed since 08-14.
Same month. Same depots. Which one goes to the board?
Omzu does not hand back a report. It resolves the definition, reads every system that touches the question, works out the cause, and tells you what to do about it.
Karachi closed at PKR 40.97M against PKR 44.72M last month. 62% of the decline sits with three customers and two products. Account 4102 has not ordered in 37 days against a 12-day cadence. PC-8871 was out of stock at the ISB depot for 9 of 22 working days.
Four layers, one direction of travel. Every system you run feeds one model of the business, the functions reason on top of it, and nothing leaves the building without your approval.
SAP, Odoo, CRM, banking, WhatsApp, spreadsheets, PDFs, SFTP drops and outside market data. Your systems do not have to be API-first, and your data does not have to be tidy.
Every record mapped to a customer, a depot, a SKU and a period. One definition per metric, approved once, used everywhere.
Scheme generation, stock replenishment, collections, performance analysis. Named jobs your team already recognises, each one reasoning across every connected system.
Create the scheme, raise the purchase request, assign the call list, send the reminder, update the CRM. Permission-controlled, approval-gated, and monitored afterwards to see whether it worked.
Native connectors across ERP, accounting, CRM, banking, messaging and spreadsheets. If a system holds your revenue, stock, cost or customer data, Omzu reads it.
Omzu is installed on infrastructure you control — your own server, your data centre, or a private cloud inside the Kingdom. Your numbers never leave it, they are never pooled with another company’s, and no shared model is trained on them.
Deployed on a machine you own or a private cloud you control. Nothing is uploaded to a multi‑tenant service, so there is no data residency question to answer.
Single tenant by design. Your data is not shared, not pooled, and never used to improve anything outside your own deployment.
Connectors written for what you actually run — including the spreadsheet on the shared drive and the WhatsApp group nobody ever documented.
Your definitions, your approval chain, your role scopes. Every function is tuned to your business before it goes live, and re‑tuned when the business changes.
This is not a product you sign up for and configure yourself. It is built for your company, on your systems, and handed over running — which is also why the answers in the demo are specific rather than generic.
Most AI tools stop at the answer. A decision is only worth something once someone has acted on it and you can see whether it worked.
Read the question, and work out which systems and definitions it actually touches.
Pull from every relevant source at once, reconcile them, and find the cause rather than the symptom.
Say what should happen, with the numbers and the trade-off attached.
“What if the discount goes from 5% to 7%?” Model it before anyone commits.
Create the scheme, raise the PR, assign the list, send the message. Once you approve.
Watch the outcome, report back whether it worked, and carry that into the next recommendation.
Reading the business and changing the business are two different permissions. Omzu keeps them apart, so you can roll it out to the whole company on day one.
Answers respect the permissions of the system they came from. A rep sees their own accounts. The MD sees everything.
Nothing fires on its own. You approve, it executes, and it reports back on whether the action worked.
Modules give your team the guided route. “Ask Omzu” is always there for everything else, on whichever surface they already have open.
No one has to know which module a question belongs to. Ask in plain language, in English or Urdu, and Omzu works out which functions and systems it needs. Same question, same answer, for everyone who asks it, within whatever each person is allowed to see.
| CHANNEL | NET PAYOUT | SHARE |
|---|---|---|
| Distributors | PKR 27,103,380 | 66.2% |
| Direct trade | PKR 9,865,320 | 24.1% |
| Projects | PKR 4,000,020 | 9.7% |
Describe the view you want and it exists. Regional health, recovery, watchlists and a live business feed, all built on the same governed metrics, so no dashboard ever disagrees with another.
A short brief every morning before the first meeting. What moved, what broke, what needs a decision today, written from the governed model rather than from whoever refreshed a sheet last.
Sales closed at PKR 1.42M yesterday, 8% ahead of the four-week average. South region is the drag, down 14%.
Stock flagged 3 SKUs below reorder point. 412 lines drafted, awaiting your approval.
Cash shows PKR 8.4M overdue past 60 days across 12 accounts. Reminders queued for 6 of them.
Your finance team does not have to leave Excel. The workbook pulls the same governed metrics, refreshes on its own, and every cell can tell you where its number came from.
| DEPOT | GL | BANK | Δ |
|---|---|---|---|
| Karachi | 14,204,110 | 14,204,110 | 0 |
| Lahore | 11,880,400 | 11,880,400 | 0 |
| Islamabad | 8,401,790 | 8,401,790 | 0 |
| Faisalabad | 6,482,420 | 6,482,420 | 0 |
Not thirty mediocre AI buttons. Four functions your team already has a name for, each one built to a standard you would put in front of the board.
Give it a product and a target. It reads what the scheme did last time, what stock you are sitting on, and what the margin can carry, then recommends the offer and models the uplift before anyone commits to it.
Open it in the console ↗Product, channel, current sales, stock, target, past schemes, margin
Historical scheme performance, margin impact, the right discount, likely uplift
Creates the scheme in the ERP, routes it for approval, publishes to the field, tracks how it performs
Demand forecast per SKU per depot, checked against live stock, open orders and real supplier lead times. It drafts the reorder lines and tells you which ones will hurt if you leave them.
Open it in the console ↗Stock on hand, open POs, sales velocity, lead times, seasonality, production plan
Demand forecast, safety stock, stock-out risk, dead and overstocked lines
Raises the purchase request, sends the supplier enquiry, escalates a stock-out, adjusts the plan
Overdue by account, ranked by what is actually recoverable rather than what is oldest. It drafts the chase in English or Urdu, on a schedule that does not depend on anyone remembering.
Open it in the console ↗Invoices, deliveries, bank credits, credit limits, payment history, ageing
Who to chase first, likely recovery, disputes worth escalating, exceptions to raise
Sends the reminder, logs the promise to pay, escalates to the controller, updates the ledger
The one that answers “why”. It crosses sales, customers, stock, receivables and team activity in a single pass, finds where the number actually went, and hands back a plan you can assign.
Open it in the console ↗Any question, in English or Urdu, from anyone with access
Which modules and systems the question needs, then the cause and the size of each contributor
Builds the recovery plan, assigns it to the right managers, and reports back next month on whether it landed
The console below is the full layer running on a sample company. Underneath it, three of these modules that have been live with real clients for months. Names are redacted at our clients' request.
The whole layer in one screen. Switch it between manufacturing, pharma and retail, switch delivery between WhatsApp and Microsoft Teams, switch role between a CEO and a sales rep, and watch every function run the full loop from understand through to a logged action.
The Sales and Executive modules as a control tower. Regional health, recovery, watchlist and a live feed, reading straight from SAP Business One.
Open live demo ↗The Executive module delivered entirely through WhatsApp. Owner and supervisor views, daily summaries, payments and scope. No app for anyone to learn.
Open live demo ↗The Sales and Finance modules in the field rep's pocket. Bilingual in English and Urdu, voice notes, daily briefings, separate agent and manager permissions.
Open live demo ↗Same brain, same governed numbers, same role scopes. The field lives in WhatsApp and head office lives in Teams, so Omzu answers in both. Both are in the console, on the same sample company, so every figure in the chat matches the dashboard behind it.
Mid-sized manufacturers, distributors and contractors. Several systems, none of them tidy, and a ledger that still has to tie out.
Production, stock, depot transfers and trade discount reconciling against the GL and the bank.
Distributor, direct trade and project revenue rolling up to one ledger.
Progress billing, sub payments and job-level P&L.
High volume, thin margin, multi-channel by default.
Batch, expiry and regulated stock against practice systems.
Trip costs, fuel, and job margin reconciled per vehicle.
Order book, greige and finished stock, and export documentation on one model.
Billable hours, retainers and collections against practice systems.
Manufacturers, distributors and retailers across coatings, chemicals, plastics, masterbatch, pharma and dairy. Every module on this page was built against a real system at one of them.
You do not replace SAP, Odoo or your CRM. Omzu sits above them. Tell us which function should run first and we come back with a plan and a date. Ships in weeks, and it is yours to keep.