automotive components, engineering goods, industrial equipment, and electronics. Multi-plant, multi-BOM, and variant configuration-intensive.
chemicals, specialty materials, paints, and coatings. Batch management, recipe control, and quality inspection.
job-order costing, heat tracking, yield management, and metallurgical quality integration.
GMP-compliant batch management, serialization, and Schedule M and DSCSA compliance.
recipe management, allergen tracking, quality inspection lots, and cold-chain connectivity.
project-based manufacturing, milestone billing, and service order management.
Greenfield, brownfield, or selective data transition to SAP S/4HANA. Multi-plant structures, production planning, costing variants, and quality management designed in from blueprint, not retrofitted after go-live.
We connect MES systems, SCADA, IoT sensors, and quality platforms to S/4HANA using SAP Integration Suite and SAP Digital Manufacturing. Production actuals and quality results flow in real time, not at shift end.
We connect procurement, inventory, and logistics across contract manufacturers, tier-2 suppliers, 3PLs, and in-house production on a single integration architecture. EDI, ASN, and inventory visibility across plants and distribution centers.
Batch-level traceability, inspection lot management, and compliance integration built into the SAP core. GMP, FSSAI, BIS, and DSCSA requirements aligned into the solution without custom middleware.
OEE dashboards, production cost variance analysis, and supply chain planning built on SAP Analytics Cloud and Datasphere. Finance and operations work from one version of the truth, not three spreadsheets.
Plant operations don’t pause after go-live. Candent’s 24x7 AMS practice provides continuous support, regulatory update management, and structured improvement. The same team that built the solution runs it.
ML models fed by MES and IoT sensor data identify equipment degradation patterns before failure, reducing unplanned downtime and enabling capacity-aware maintenance scheduling.
AI-driven forecasting processes order history, market signals, and supply variability to improve planning accuracy across multi-level bills of materials.
ML models processing in-process inspection data surface defect patterns earlier in the production cycle, reducing rework volumes and cost-of-quality.
AI-assisted sequencing accounts for machine constraints, shift patterns, material availability, and customer priority to maximise throughput and on-time delivery.
AI-driven analysis of delivery, quality, and lead time data flags supplier risk before it disrupts the production schedule or triggers a line stoppage.
We assess your landscape, integration dependencies, and shop-floor data flows before program design begins. The scope reflects the real requirement, not the clean version.
Our integration architects and SAP consultants work on the same team. MES, WMS, and supply chain touchpoints are part of the blueprint, not a phase two.
Programs are led by consultants with direct delivery experience in discrete manufacturing, process industries, and regulated environments.
The delivery team continues as the managed services team after go-live. The people who built the solution are the people maintaining it.
Consultants on your program are trained to the SAP standard before they arrive. Not onboarded on your timeline and your budget.
