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SAP Business OneSaaS Tools

AI Sales Assistant and Natural Language Query

A conversational analytics layer for SAP Business One that answers plain-language questions on sales,

margin and stock. Built to order for your company database, quoted after a scoping call and installed per tenant.

آرڈر پر تیار

AI Sales Assistant and Natural Language Query کیا ہے؟

A conversational analytics layer for SAP Business One that answers plain-language questions on sales, margin and stock. Built to order for your company database, quoted after a scoping call and installed per tenant. Built to order by ECOSIRE for SAP Business One (build-to-order) — indicative price from $999.00 USD; request a quote for a scoped proposal.

AI Sales Assistant and Natural Language Query — A conversational analytics layer for SAP Business One that answers plain-language questions on sales, margin and stock

What we build

  • Plain-language questions resolved against a curated semantic map of your SAP Business One objects rather than an open-ended guess at the schema
  • Read access via the SAP Business One Service Layer (OData v4) with parameterised read-only company-database queries for heavy aggregations
  • Revenue and gross margin analysis across Sales Orders (ORDR/RDR1) and A/R Invoices (OINV/INV1) with credit memos netted off
  • Business Partner intelligence over OCRD including addresses (CRD1), contact persons (OCPR), payment terms and credit limit context
  • Item and stock answers over OITM and per-warehouse OITW covering on hand, committed, ordered and available quantities
  • A/R ageing and open balance questions built from posted A/R documents and Journal Entries (OJDT/JDT1)
  • Explicit date-basis control so a question is answered on document date, posting date or due date and the choice is stated in the answer
  • Drill-through to the exact document numbers behind every figure so finance can reconcile the answer inside SAP Business One
  • Recognition of your user-defined fields (UDFs) and user-defined tables (UDTs) as first-class filters and dimensions
  • Optional approved write-back actions executed through the DI API or Service Layer under a named service user, such as logging an Activity against a Business Partner
  • Authorisation mapping so cost and margin visibility follows your SAP Business One user groups, sales employee or branch assignment
  • Question log table recording the user, the question, the resolved query and the timestamp for audit and tuning

اس مصنوع کے بارے میں

On Monday morning a sales manager wants to know which customers ordered less this quarter than last, and what that cost in gross margin. Every fact needed to answer that sits inside SAP Business One already: the sales orders, the deliveries, the A/R invoices, the item master costing and the business partner hierarchy. Answering it, though, means opening the query generator, remembering how ORDR joins to RDR1, deciding whether to measure on document date or posting date, and then formatting the result for a meeting. In practice the question is either never asked, or it lands on the one person who maintains the Crystal Reports library and comes back three days later, after the decision has already been made.

This add-on closes that gap. It puts a conversational layer in front of your SAP Business One company database so that people who will never write a query can ask in plain language and get an answer assembled from your own posted transactions, with the underlying figures and document numbers shown alongside so the answer can be checked rather than trusted blindly.

What ECOSIRE builds for you

This is a build-to-order engagement. There is no shrink-wrapped download and no ready-made binary waiting on a server. We build the add-on against your company database, your chart of accounts, your user-defined fields and your document flow, then install it for you.

The core of the build is a semantic layer defined during scoping: a curated map of the SAP Business One objects that actually matter to your business. That normally covers Business Partners (OCRD) and their addresses and contact persons, Items (OITM) and item groups, Sales Quotations and Sales Orders (ORDR/RDR1), Deliveries, A/R Invoices and Credit Memos (OINV/INV1), Purchase Orders and A/P Invoices, Journal Entries (OJDT/JDT1), Warehouses and per-warehouse stock (OITW), price lists, plus any UDFs and UDTs you rely on. Questions are resolved against that map instead of against a free-form guess at your schema, which is what keeps answers stable, repeatable and reviewable month to month.

Read access runs through the SAP Business One Service Layer (OData v4) where the object model is the natural fit, and through parameterised, read-only queries against the company database where an aggregation over many rows is more appropriate. Where a question implies a write — logging a follow-up activity against a business partner, flagging an account for review, raising a draft document — that write is executed through the DI API or the Service Layer under a named service user, and only for the specific actions you approve during scoping. Nothing writes to your database that was not agreed in writing first.

Grounded answers you can audit

Every answer carries its working. The assistant returns the metric definition it used, the date basis it applied (document date, posting date or due date), the filters in force, and a drill-through list of the actual document numbers behind the figure, so a controller can open the same documents in SAP Business One and reconcile. Where a question falls outside the semantic layer, the assistant says it cannot answer rather than inventing a number — this is the single most important design rule in the build, and we test it deliberately before handover.

Question shapes we typically implement include revenue and gross margin by customer, item, item group, sales employee, branch or warehouse; period-on-period and year-on-year comparison; open sales order backlog and its value; stock on hand versus committed and ordered; A/R ageing by business partner; slow-moving stock; and top or bottom N ranking against a threshold. Answers export to Excel, and any question can be pinned as a saved question so the same definition is reused next month instead of being re-derived.

Permissions, tenancy and logging

The assistant respects your SAP Business One authorisation model rather than working around it. During scoping we map which user groups may see cost and margin, which are limited to revenue only, and whether results should be automatically filtered by sales employee, branch or warehouse. Each question, the query it resolved to, the responding user and the timestamp are written to a log table in your database, so you can review exactly what was asked and what was returned. The deployment is per tenant: your data stays in your company database and is never pooled with another customer's.

Who it is for

Owner-managers and general managers who want the answer before the meeting rather than after it. Sales managers who watch margin and backlog daily and currently rely on exports. Finance teams who field the same ageing and cash questions every week from three different people. Operations and purchasing staff who need a stock or backlog answer without opening five windows and a query.

How delivery works

1. Scoping call. We walk your company database structure, your document flow, the UDFs you depend on, and the twenty to thirty questions you actually want answered. We confirm your SAP Business One version, database platform and hosting model. 2. Fixed quote. You receive a written scope and a fixed price before any build work starts. If the scope changes later, we requote rather than absorb it silently. 3. Build. We develop the semantic layer, the query resolution logic, the permission mapping and the user interface against a copy of your data or a representative test company. 4. Install into test. The add-on is installed into your test company database first. You ask real questions against real data and we tune definitions until the numbers match what your finance team expects. 5. Production. Once you sign off on the test company, we install into production, configure the service user and authorisations, and hand over the documentation. 6. Support window. A defined support period follows go-live for defect fixes and definition adjustments, with an optional ongoing agreement after that.

Typical lead time from signed quote to production install is one working week, depending on how many question shapes are in scope and how quickly a test company can be made available.

What this add-on is not

It is not a replacement for your statutory reporting or your Crystal Reports library, and it is not a general-purpose chatbot that browses the internet. It does not restructure your data or migrate you to a new platform. It answers questions about the SAP Business One data you already have, inside the permission boundaries you already run, and it tells you when it cannot.

How delivery works

  1. 1

    Scoping call

    A short call to confirm the workflow, your platform version and where the integration boundaries sit.

  2. 2

    Fixed quote

    You receive a written scope and a fixed price. Nothing is built until you approve it.

  3. 3

    Build and test

    We develop against a copy of your configuration and test it there. Typically two to four weeks.

  4. 4

    Install and support

    ہم آپ کے سسٹم پر انسٹال کرتے ہیں اور سورس کوڈ حوالے کرتے ہیں، اور گو لائیو کے بعد دو ہفتوں کی معاونت شامل ہے۔ ہمارے فراہم کردہ کوڈ کی خرابیاں مفت درست کی جاتی ہیں۔

What you get

  • The compiled add-on and its full source code, built for your SAP Business One version and database platform
  • The configured semantic layer definition covering the agreed objects, UDFs, metrics and date bases
  • Installation into your test company database, followed by installation into production after your sign-off
  • Service user setup, authorisation mapping and configuration notes specific to your environment
  • A written administrator guide covering configuration, the question log, permission changes and troubleshooting
  • A recorded or live training session for managers and power users, plus a one-page question cheat sheet
  • A defined post-go-live support window for defect fixes and metric definition adjustments

Who this is for

Managing Director / Owner

Wants a straight answer on sales, margin and cash before a board or bank meeting, and today has to ask three people and wait. Asking the question directly and getting a figure with the documents behind it removes the delay and the game of telephone.

Sales Manager

Tracks backlog, customer decline and margin erosion but only sees them once a month when a report is compiled. Being able to ask which accounts slipped and by how much, in seconds, turns a monthly review into a weekly habit.

Finance Manager / Controller

Fields the same A/R ageing, open balance and margin questions from other departments every week, and worries that ad-hoc exports produce inconsistent numbers. A shared, logged definition of each metric with drill-through to documents removes both the interruptions and the disagreement.

How AI Sales Assistant and Natural Language Query Compares

CriterionECOSIRECustom BuildCompetitorSAP Business One نیٹو
Answers plain-language questions without writing a queryIncludedPartial supportPartial supportNot included
Built against your actual company database, UDFs and UDTsIncludedIncludedNot includedPartial support
Drill-through from every figure to the source document numbersIncludedPartial supportPartial supportIncluded
Explicit metric and date-basis definitions shown with each answerIncludedPartial supportNot includedNot included
Fixed written quote agreed before any build work beginsIncludedPartial supportIncludedIncluded
Full source code handed over to the customerIncludedIncludedNot includedNot included
Installed into a test company first, then production after sign-offIncludedPartial supportPartial supportPartial support
Question and response audit log inside your own databaseIncludedPartial supportNot includedNot included

Frequently asked questions

Is this ready to download and install today?
No. Every ECOSIRE app is built to order. We scope your requirements, issue a fixed quote, then build the add-on against your company database, your UDFs and your document flow. Typical lead time from signed quote to production install is one working week, driven mainly by how many question shapes are in scope and how quickly a test company can be made available.
Which SAP Business One versions and editions do you support?
We target SAP Business One 10.0 on both Microsoft SQL Server and SAP HANA, on-premise or cloud-hosted, including the browser and Windows clients. Earlier releases such as 9.3 can sometimes be supported but must be confirmed during scoping, because the Service Layer surface and the available endpoints differ. We are not an SAP-certified solution and make no partnership claim.
Does the assistant ever invent numbers?
The design rule is that it answers only from the semantic layer defined during scoping, and every answer states the metric definition, the date basis and the filters used, with drill-through to the underlying document numbers. If a question falls outside that layer, it says so instead of producing a figure. We test this behaviour explicitly before handover.
Can it write to my SAP Business One data?
Only for the specific actions you approve during scoping, and only through the DI API or the Service Layer under a named service user so the change is attributable. Many deployments are read-only by choice. Common approved writes are logging an Activity against a Business Partner or creating a draft document for a user to review.
Will it respect our existing authorisations?
Yes. During scoping we map which user groups may see cost and margin and which are limited to revenue, and whether results should be filtered automatically by sales employee, branch or warehouse. The assistant enforces that mapping rather than bypassing it, and every question is written to a log table with the requesting user.
Where does our data go?
The deployment is per tenant and your transaction data stays in your own company database. We agree during scoping exactly which components run inside your network and what, if anything, leaves it for language processing, and we document that boundary in writing before the build starts so your data protection position is explicit.

قیمت کا تخمینہ طلب کریں

ہمیں AI Sales Assistant and Natural Language Query کے لیے اپنی ضروریات بتائیں اور ہم آپ کو قیمتیں، لائسنس کے اختیارات اور ایک مخصوص تجویز بھیجیں گے — عام طور پر ایک کاروباری دن میں۔

ابھی کوئی ادائیگی نہیں۔ یہ ہماری ٹیم کو قیمت کی درخواست بھیجتا ہے — ہم قیمت اور اگلے اقدامات کے ساتھ ای میل کے ذریعے رابطہ کریں گے۔

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