Demand & RM planning
SAP sales orders, production completions
Forecast finished-goods and raw-material need from history and seasonality so stores stop over-buying for peak months.
AI on SAP + plant data
AI & Machine Learning on Your SAP Business One Data
Use the data you already collect in SAP B1 — sales, production, inventory, QC — plus optional IoT — for forecasting, exception alerts, and plant dashboards without replacing ERP.
Built for Gujarat manufacturers — ceramics, metals, textiles, engineering · SAP B1 SQL & HANA
Intelligence layer on SAP — not a rip-and-replace
We build ML pipelines that read SAP B1 SQL/HANA data securely and deliver forecasts and alerts to plant heads, stores, dispatch, and CFOs. CRM dealer portals can feed the same layer for outstanding and scheme risk.
- Demand forecasting from SAP sales history
- Inventory excess and stock-mismatch risk
- Weighbridge vs SAP delivery exception alerts
- Predictive maintenance from IoT + SAP PM
- Energy / MD anomaly detection
- Quality defect clustering
- Production load vs open work orders
- Dealer outstanding risk from SAP AR
Common challenges we solve
- SAP reports show history but not predictions
- Excel-based forecasting for raw material planning
- Weighbridge disputes found only after invoicing
- Energy penalties with no link to SAP cost centres
15+SAP B1 integrations
SQL & HANASAP B1 platforms
90 daystypical Phase 1 go-live
8GIDC clusters served
Manufacturing AI on SAP + shop-floor data
An intelligence layer that reads the ERP and plant data you already collect. We do not replace SAP Business One.
Inventory risk
SAP item master, warehouse movements
Flag slow movers, excess stock, and plants where bins do not match SAP — before the next cycle count shock.
Dispatch & weighbridge exceptions
Scale tickets vs SAP delivery / GRPO
Detect weight mismatches, repeat overweight trucks, and gate delays that become credit notes.
Predictive maintenance
IoT sensors + SAP PM / production
Use furnace, kiln, and machine signals with work-order history to alert before unplanned downtime.
Energy & MD penalties
Meter / furnace load + SAP cost centres
Spot load spikes and power-factor drift that hit maximum-demand charges on the electricity bill.
Quality defect patterns
QC results + production orders
Cluster defect codes by shift, SKU, and machine so plant heads see patterns Excel never surfaces.
Production schedule assist
Open work orders + downtime logs
Highlight overloaded lines and idle capacity from SAP production data — not a second MES.
Dealer outstanding risk
SAP AR + CRM / scheme portal
Rank dealers by overdue, scheme leakage, and order drop-off so sales follows the ledger, not WhatsApp memory.
Phase 1 is typically a read-only dashboard on SAP SQL or HANA. IoT is optional until you need energy or maintenance models. Read the manufacturing AI use-case guide.
Frequently Asked Questions
Do we need to replace SAP B1 for AI?
No. We add an analytics and ML layer that reads from your existing SAP Business One database with read-only secure access.
Is shop-floor IoT required before we start?
No. Phase 1 can run on SAP sales, inventory, production, and QC data alone. Weighbridge, furnace meters, and PM sensors are added when you want energy, maintenance, or gate-exception models.
Does this work on SAP B1 SQL and HANA?
Yes. We connect to both SAP Business One on SQL Server and HANA using service-layer or read-only database access agreed with your IT team.
What is Phase 1 versus a “full AI factory”?
Phase 1 is typically a secure dashboard and a handful of models (demand, exceptions, energy). It is not a new MES, not computer-vision cameras, and not a generative shop-floor copilot unless you later scope those as separate projects.
How is SAP data kept private?
Access is read-only where possible, scoped to agreed tables, and hosted on your SAP-optimized environment or a private analytics store — not a public chatbot trained on your ledgers.
Schedule your free plant & SAP integration audit
30-minute remote or on-site assessment. No obligation.