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- Demand Planning
- Supply Network Planning
- Production Planning/Detailed Scheduling
- Global Available-to-Promise
Implementation Services Offerings
- End-to-end APO Implementation
- Incrémental module implementation-ex. ICH, DP, SNP, SD, MM, PP, WM
Approach
- Domain based templates for gathering supply chain information/li>
- SAP Solution Manager based Methodology
- Supply chain design approach based on SCOR framework
- Optimum mix of onshore and offshore resources
Differentiators
- Process driven supply chain consulting team
- Strong domain skills
- Proven Cost effective onsite-offshore model
- Value through unique accelerators
- "PLATINUM" Program
Upgrade Services Offerings
- APO Upgrade from 2.x/3.x to SCM 4.0
- Pre vs. Post upgrade Supply chain analysis
Approach
- Feature-version comparison analysis/li>
- Primary approach based on SAP Solution Manager
- Supplemented by knowledge of industry best practices and SCOR framework
Differentiators
- Offshore APO Upgrade Test bed
- Customer Visibility Dashboard
- Quantitative supply chain performance analysis
- 25-30% cost savings guaranteed based on onsite-offshore model
Application Support & Maintenance Offerings
- APO and R/3 modules support and maintenance
- APO Process Optimization- algorithm parameters, forecast analysis, supply chain data analysis
- APO Functional Enhancement and Configuration
Approach
- HexaSAP ASM Methodology
- L1 to L4 Supply chain App support model
- KT/ RT Architecture
Differentiators
- "LEAP Program" - bundled APO upgrade and support offering
- APO Competency center
- Customer Visibility Dashboard
- KTTM Satisfaction Index
- Flexible Staffing Models
Optimization Forecast Optimization
- Data cleansing and analysis
- Product/Entity categorization
- Forecast strategy identification
- Forecast algorithm parameters, errors
- Aggregation and Proportional factor identification
- Causal modeling and analysis
Optimizing Algorithmic performance
- Supply Network strategy definition
- Algorithm/Solver selection and configuration
- Tweaking algorithm parameters for desired results
- Optimizing server sizing based on algorithm/solver runtime
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