Services / ERP
SAP Business One Implementation
SAP Business One suits operations where the shop floor drives the business. We implement it around your bill of materials, routing and costing model — so production, inventory and finance finally agree on what a unit costs to make.
- Practice
- ERP
- Best fit
- Best fit for discrete or process manufacturers and distributors that want deep costing, batch traceability and an on-premise or private-cloud option.
- Industries
- Manufacturing · Textile · Distribution · Construction
What’s included
Scope, stated before we start
Six work-streams that make up a standard engagement. Anything outside them is priced separately and named in the proposal — never absorbed quietly.
BOM, routing & production orders
Multi-level bills of material, resources and routings, work orders, backflush rules and scrap handling configured against how your floor actually reports.
Product costing & variance analysis
Standard cost roll-ups, actual cost capture, and purchase-price, usage and efficiency variance reporting that closes the loop on margin.
Procurement & MRP
Reorder logic, lead-time and safety-stock parameters, MRP runs and recommendation review — tuned to reduce both stockouts and dead inventory.
Batch, serial & shelf-life traceability
Full genealogy from received lot to finished goods and dispatch, with the recall-in-an-hour test as the acceptance criterion.
Add-on rationalisation
Where a certified add-on genuinely beats configuration we recommend it, size it and integrate it. Where it does not, we say so.
Crystal Reports & Power BI layer
Statutory and operational reporting in Business One, with a governed SQL view layer feeding Power BI for cross-plant analysis.
Outcomes
What changes when this is done properly
These are the three differences clients describe six months after go-live — not feature claims.
- Costed BOMs that match the floor
- Lot genealogy traceable end to end
- MRP that people trust enough to run
Not sure this is the right service? Discover is a fixed-price, two-to-three week assessment that answers the question with evidence — and it is usable whether or not you appoint us. Start there instead →
Who it’s for
Industries where this comes up most
Each links to how the service is shaped for that sector — the requirements differ more than vendors admit.
Our approach
The same four phases, applied to this scope
Reused deliberately. A consistent method is what makes a fixed price honest and a date holdable.
01
Discover
Process mapping before software selection.
We walk the floor and the ledger. Two to three weeks of structured interviews and document tracing produce a current-state process map, a data-quality baseline, and a written list of the decisions your systems cannot currently answer.
02
Design
One target architecture, agreed on paper.
Chart of accounts, item and customer master rules, approval hierarchies, integration contracts and reporting model are designed together — not discovered during build. You sign off a blueprint, not a demo.
03
Deliver
Configure, migrate, test, train — in that order.
Iterative configuration with fortnightly conference-room pilots. Data migration runs three times before go-live: trial, dry run, and cutover, each reconciled to the closing trial balance. Users train on their own data.
04
Sustain
Hypercare, then measurable adoption.
Four to eight weeks of hypercare with named owners and a burn-down of issues. Then a governance rhythm: master-data stewardship, monthly close review, and a Power BI adoption dashboard that shows whether the system is actually being used.
Related case study
Product costing the shop floor actually recognises
Standard costs that had drifted for years rebuilt against real routings and consumption, with shop-floor capture on rugged terminals and variance reported per production order.
Our board finally reads the same numbers we do. Month-end reporting dropped from eleven working days to four, and nobody rebuilds a spreadsheet to get there.
Manufacturing depth, costing granularity and deployment preference usually decide it. Business One is stronger on production and localised costing; NetSuite is stronger on multi-entity consolidation and native cloud. Our fit/gap workshop scores both against your own requirements register and hands you the matrix.
Both. We size the environment for your transaction volume and reporting load, and we are explicit about which version of the analytics story each option gives you.
Yes — managed support, version upgrades, add-on health checks and performance tuning, whether or not we implemented the original system.
We design capture to the reality of the plant: rugged terminals, barcode scanners, tablet forms, or a supervisor batch-entry routine with tight cut-off discipline. Hardware supply and installation can be part of the same engagement.
Next step
Talk to someone who has implemented SAP Business One before
Not a sales call. A working conversation with the person who would run the engagement, and a straight answer on scope, sequence and cost.