SAP Business One · Manufacturing · Supply Chain Intelligence

Your SAP Business One
AI Engineering Partner.

Dedicated SAP B1 teams, SDK add-on development, supply chain intelligence, warehouse AI, and predictive analytics — delivered by an engineering organization with deep manufacturing and industrial ERP expertise.

SAP
B1 ecosystem
152
Engineers
AI
Supply chain
AT
Leadership
What we deliver for SAP B1
SAP B1 staff augmentation — technical & functional
Dedicated SAP B1 engineering teams
SDK add-on development & customization
Supply chain intelligence & AI forecasting
Warehouse management & automation
Manufacturing production planning AI
Crystal Reports & analytics automation
White-label SAP B1 delivery for partners
Where SAP B1 projects stall

The real bottlenecks in SAP Business One
delivery — and how we solve them.

🏭

Manufacturing data sits in SAP but drives no intelligence

Most SAP B1 manufacturing deployments capture production data without ever turning it into forecasting, quality intelligence, or predictive maintenance insights. The data exists — the AI layer doesn't.

📦

Inventory planning is reactive, not predictive

Warehouse managers and procurement teams are constantly reacting to stockouts and overstock — because SAP B1 out-of-the-box lacks the ML forecasting required to predict demand at the SKU and location level.

👨‍💻

SAP B1 SDK developers are hard to find and expensive

Deep SAP Business One SDK expertise — especially for complex add-on development and HANA integration — is a rare and expensive skill set in European markets. Most companies either overpay or under-deliver.

📊

Reporting is Crystal Reports from 2015

Many SAP B1 environments still run on Crystal Reports built during the initial implementation — static, manual, requiring IT involvement to modify. Modern reporting and BI automation is within reach but rarely implemented.

🔗

Integration with operations technology is a gap

Industrial companies running SAP B1 alongside MES, SCADA, PLCs, or IoT sensors often have no data bridge between operational technology and the ERP. Valuable production data never reaches SAP — and SAP decisions never reach the shop floor in real time.

🤝

Partner capacity limits grow with client pipeline

SAP B1 partners who close implementation contracts often cannot scale delivery fast enough — without hiring senior SDK developers who are difficult to retain. A white-label engineering team solves this without permanent headcount risk.

What we deliver

The full SAP Business One engineering
stack, available as a managed service.

Every service covers SAP B1 on-premise and cloud (SAP HANA), across manufacturing, wholesale, distribution, and professional services sectors.

01

SAP Business One Staff Augmentation

Senior SAP B1 engineers embedded directly in your team. SDK developers who build clean, production-grade add-ons. Functional consultants who understand manufacturing, supply chain, and finance processes in B1. Flexible basis — sprint support through long-term embedding.

SAP B1 SDKSAP HANACrystal ReportsFunctional ConsultingProject Management
02

Dedicated SAP B1 Engineering Teams

A complete SAP B1 unit — tech lead, SDK developers, functional consultant, QA, and analyst — assigned exclusively to your delivery pipeline. Long-term continuity, no ramp-up costs per project. Scales with your implementation pipeline or internal development backlog.

Tech LeadSDK Developer ×2–3Functional ConsultantQABusiness Analyst
03

AI for SAP Business One

AI engineering natively integrated into SAP B1 data and workflows. ML demand forecasting, predictive maintenance, warehouse intelligence, and production optimization — built as SDK add-ons that run inside your existing B1 environment, not external platforms.

Demand ForecastingPredictive MaintenanceWarehouse AIProduction OptimizationML Models
04

Supply Chain Intelligence

End-to-end supply chain visibility and intelligence built on SAP B1 data. Real-time inventory position tracking, supplier performance analytics, lead time forecasting, and automated reorder point optimization — turning your supply chain from reactive to predictive.

Inventory OptimizationSupplier AnalyticsLead Time ForecastingAutomated Reorder
05

White-Label SAP B1 Delivery

The invisible technical engine for SAP B1 partners and system integrators. You handle the client. We deliver the SDK development, implementation, configuration, and support — under your brand. Full NDA, no client-facing presence, structured for partner relationships.

Under Your BrandNDA-readySDK DevelopmentImplementationPartner Support
06

Reporting & Analytics Modernization

Replace legacy Crystal Reports with modern, automated reporting. Power BI dashboards connected to SAP B1 via direct connector or data warehouse. Executive dashboards, operational KPIs, production analytics, and financial reporting — live, automated, self-service.

Power BI + SAP B1Crystal ReportsData WarehouseExecutive DashboardsProduction KPIs
07

SAP B1 Support & Maintenance

Ongoing production support for live SAP B1 environments. Add-on bug fixes, version updates, performance tuning, user support, and proactive monitoring. Available as a 24/7 retainer or flexible support package with defined SLAs and a team that already knows your add-on codebase.

Bug FixesSDK UpdatesPerformance TuningUser Support24/7 Retainer
AI for SAP Business One

Industrial intelligence,
built into SAP B1.

Manufacturing, supply chain, and warehouse operations generate enormous amounts of data inside SAP B1 — most of it never analyzed. Our AI engineering team builds the intelligence layer that turns operational data into competitive advantage.

📦

Warehouse Intelligence AI

AI-driven pick path optimization, bin location intelligence, and real-time stock accuracy monitoring — connected directly to your SAP B1 warehouse module and WMS data. Reduces picking errors and improves warehouse throughput without changing your ERP.

Pick OptimizationStock AccuracyWMS IntegrationSAP B1 Inventory
🔮

Demand & Inventory Forecasting

Machine learning models trained on your SAP B1 sales and purchase history. Forecast demand at the SKU, warehouse, and period level — feeding automatically into B1 purchase planning to eliminate both stockouts and overstock simultaneously.

ML ForecastingPurchase PlanningSeasonal AnalysisSAP B1 Supply Chain
🔧

Predictive Maintenance

Real-time AI monitoring of asset condition data and maintenance history in SAP B1. Identifies equipment failure patterns before they become unplanned downtime events — scheduling preventive work at the optimal point in the asset lifecycle.

Asset MonitoringFailure PreventionDowntime ReductionSAP B1 Maintenance
🏭

Production Planning Optimization

AI-assisted production scheduling that accounts for real material availability, machine capacity, labor constraints, and delivery commitments — providing realistic production plans that MRP alone cannot generate accurately.

Production SchedulingCapacity PlanningMRP EnhancementSAP B1 Manufacturing
Case Study

AI forecasting at scale:
Real estate group, 23 subsidiaries.

AI Forecasting · Multi-subsidiary · Real Estate

AI-Powered Sales Forecasting for a 23-Subsidiary Real Estate Group

A large real estate group operating 23 subsidiaries across multiple markets needed a way to unify data across their ERP environments and generate reliable long-term sales forecasts. Manual analysis took weeks per market — and was already outdated by the time it reached decision-makers. We deployed an AI forecasting engine that aggregates transaction data, market signals, and macroeconomic indicators across all subsidiaries, generating 5, 10, 25, and 50-year sales projections in real time. Analysis that previously required weeks of analyst work is now delivered in minutes — consistently, across all 23 entities simultaneously.

23
Subsidiaries unified in one AI model
37%
Increase in sales conversion
Weeks
→ Min
Analysis time reduction

The challenge

23 subsidiaries with separate data sets and no unified view. Sales forecasting was manual, inconsistent, and took weeks per market — making it impossible to respond to market changes in real time.

What we built

An AI forecasting engine integrating with their ERP data and external market signals. ML models trained on historical transaction data generate probabilistic forecasts across 4 time horizons — instantly available across all subsidiaries.

Read Full Case Study → Download PDF
Technical depth

What our SAP B1
engineers actually know.

SAP B1 SDK Development

  • SAP Business One SDK (DI API)
  • UI API & add-on development
  • Service Layer API (REST)
  • B1if integration framework
  • HANA stored procedures
  • Crystal Reports & printing

Manufacturing & Supply Chain

  • Production order management
  • BOM & routing configuration
  • MRP & purchase planning
  • Quality control setup
  • Batch & serial management
  • WMS configuration

Analytics & Reporting

  • Power BI + SAP B1 connector
  • Crystal Reports development
  • SAP HANA analytics views
  • KPI dashboards
  • Pervasive Analytics
  • Data warehouse integration

Integrations

  • REST / SOAP API development
  • EDI & logistics connectors
  • eCommerce platforms
  • CRM synchronization
  • IoT & sensor data ingestion
  • Third-party WMS / MES

AI & Machine Learning

  • Python ML pipeline development
  • Forecasting model training
  • SAP B1 data extraction & ETL
  • Predictive analytics engines
  • Anomaly detection models
  • LLM integration

Infrastructure

  • SAP B1 on-premise setup
  • SAP HANA administration
  • Cloud migration (Azure / AWS)
  • Backup & DR planning
  • Performance tuning
  • Security & access control
How we start

From first call to
first delivery in weeks.

01
Day 1–2

Discovery Call

30 minutes. We understand your SAP B1 version, current setup, industry context, and what you need — SDK development, AI, supply chain intelligence, or white-label delivery capacity.

02
Day 3–5

Team Proposal

Specific engineer profiles, engagement model, timeline, and cost — tailored to your SAP B1 environment and industry. Not a generic headcount estimate.

03
Week 1–2

Onboarding & Kickoff

Engineers access your B1 environment, review existing add-ons and data model, join your tools. Austrian project lead takes ownership of delivery management from day one.

04
Week 2+

Active Delivery

Agile Scrum cycles with weekly delivery. Regular progress reviews, Austrian-led client communication, and capacity adjustment as your requirements evolve.

FAQ

Common questions from
SAP B1 teams and partners.

Yes. We have engineers experienced in both on-premise SAP Business One deployments and SAP HANA cloud environments. Our SDK developers understand the differences in API availability and performance characteristics between the two. We advise on the right approach for your specific architecture and version.
Yes — and this is a critical discipline. We write SAP B1 add-ons using the DI API and Service Layer in ways that minimize version dependency and survive major SAP B1 upgrades without complete rewrites. Our engineers follow SAP's recommended patterns for add-on architecture and document customizations thoroughly for long-term maintainability.
We operate completely behind the scenes. Your client knows only your brand. Our engineers work within your project tools and communication channels. Full NDA protection, no direct commercial relationship with your clients, and no Quantum Neon branding visible to your end customers. You maintain full client ownership — we provide the engineering capacity.
We architect a data ingestion layer that connects your operational technology (IoT sensors, PLCs, MES systems) to a data pipeline feeding into SAP B1 or a parallel analytics environment. This typically involves a middleware layer (Azure Event Hub, Kafka, or similar) that normalizes sensor data and feeds it into our ML forecasting models alongside SAP B1 ERP data. The resulting intelligence is surfaced back into SAP B1 via add-on dashboards or automated planning updates.
Yes — this is a common engagement. We audit your existing Crystal Reports, map the data sources and business logic, then rebuild them as live Power BI dashboards connected directly to SAP B1 via the native connector or a data warehouse layer. We also handle the organizational change management of moving from static PDF reports to self-service analytics — including user training and documentation.
Next step

Start with a 30-minute
SAP B1 strategy call.

Tell us your SAP B1 version, your industry, your delivery challenge, and your timeline. We'll tell you exactly what team composition fits — no generic proposals.

office@quantumneon.ai · No commitment required · Response within 24 hours