Orders are scattered
WhatsApp messages, email threads, PDFs, spreadsheets, screenshots and salespeople all feed the same order process.
Nantara reads customer orders from WhatsApp, email, PDF and Excel. The Order Agent checks SKUs, prices, stock and business rules, then prepares a clean sales order in your existing system. Your team steps in only when something needs a decision.
Built for high-volume B2B order desks. Works around your existing ERP and approval rules. WhatsApp is one input, not the whole solution.
Orders arrive in different formats and channels. Someone still has to read them, check the details and type them into the system. That work slows down the order desk and makes mistakes easy to miss.
WhatsApp messages, email threads, PDFs, spreadsheets, screenshots and salespeople all feed the same order process.
Admins verify customers, SKUs, quantities, price lists, stock, credit status and approvals one order at a time.
A purchase order becomes another spreadsheet row, another ERP entry and another follow-up. Delays and duplicate work compound as volume grows.
The opportunity is not to replace your ERP. It is to remove the repetitive work between receiving a purchase order and creating a reliable sales order.
The agent turns unstructured customer purchase orders into structured sales orders. It reads each line, matches your catalogue and customer terms, checks the rules you set, and prepares the transaction for your existing workflow.
The agent handles routine steps. Your team retains authority over exceptions and approvals.
Illustrative example, not a customer result or live product screenshot.
Each implementation is mapped to your order rules and systems. The core process stays simple to follow.
Automation should not turn an unclear PO into a wrong order. Nantara separates work that can proceed from work that requires a decision, using the rules agreed for your operation.
Rules, permissions and integration scope are defined during implementation.
The value comes from removing repetitive steps while keeping the checks your business depends on. We establish the baseline and measure results with you during a pilot.
Staff read mixed-format POs, look up the right customer terms, reconcile mismatches, re-enter lines and chase approvals across chat and spreadsheets.
The Order Agent prepares and checks the order. Clear cases move through the agreed process; uncertain cases are routed for a human decision.
Less time spent moving the same order between channels and systems.
SKU, price and quantity checks happen before posting, with exceptions made visible.
See where orders are waiting and why, instead of searching across conversations.
A useful starting calculation: monthly orders × minutes of manual work avoided per order. A pilot tells us what that number actually is for your team.
Nantara sits between incoming purchase orders and the systems where sales orders are recorded. We map the available integrations, data fields and approval points during discovery. Scope depends on access and the capabilities of each system.
The Order Agent matches the customer and checks each item against the agreed catalogue and rules. Sixteen lines are clear. One price differs from the agreed terms, and one item needs a stock check. Those two issues go to an admin. The sales order waits until they are resolved.
This is an illustrative workflow, not a claim about a deployed customer account.
We begin with your actual POs, business rules and existing tools. Scope and timeline are agreed after discovery, not promised before we understand the process.
Document channels, order variants, data fields, approval rules and current handoffs.
Configure the agent, test known edge cases and review its decisions with your team.
Track handling effort, exceptions and errors. Broaden the rollout only when the workflow is dependable.
Distributors, wholesalers, importers and trading companies with recurring purchase orders, product catalogues, customer-specific terms and an admin team handling order entry.
If order volume is low, every order is entirely bespoke, or there is no consistent way to validate order details, we will say so during discovery.
There is no one-size-fits-all price because order formats, rules, system access and volumes differ. After discovery, you receive a written scope covering implementation, ongoing operation and any third-party usage costs.
Review real purchase orders, current handling time, exceptions and integration constraints.
Agree on one workflow, success measures, responsibilities, access and a clear price before work begins.
Review the results together and decide whether to expand to more channels, customers or processes.
The same operational approach may later extend to receivables, purchasing, inventory or management reporting. These are areas to explore with customers, not promises that every capability is available today.
No. WhatsApp can be one source of purchase orders. The Order Agent is built around reading, validating and processing orders across the agreed channels and systems.
No. The aim is to reduce the manual work before a sales order reaches your existing ERP or accounting workflow. Integration scope depends on your system.
The agent flags the mismatch under the rules we agree with your team. A person reviews or approves the exception before the order proceeds.
Those are common starting formats. During discovery we review your real samples, file quality and channel access to define what the pilot can support.
Only if your approved workflow allows that for a clearly defined case. You decide which actions run automatically and which require review.
It depends on the number of order formats, rules, integrations and approvals. We scope a pilot and timeline after reviewing your process.
Pricing is scoped to the implementation, ongoing operation and any third-party usage. We provide a written proposal after understanding the workflow and integration requirements.
We agree on a baseline and review measures such as handling time, manual touches, exceptions and avoidable order errors during the pilot.
We define access, permissions, data handling and the systems involved for each implementation. Ask us to review your requirements before any integration is connected.
Tell us how orders arrive, where they are entered and what slows the team down. We will discuss whether an Order Agent is the right fit.
We will show where work can be automated, where your team should stay in control and what a sensible first pilot would cover.