Supply Chain Planning.
Turning volatility into visibility through intelligent supply chain planning.
Our Supply Chain Planning services optimize end-to-end operations using advanced forecasting, demand sensing, and scenario modeling. We help enterprises build responsive, resilient, and data-driven supply networks that can adapt to constant market shifts.
Demand Forecasting & Planning
Use AI/ML models and real-time data to predict customer demand accurately and minimize forecast bias.
Supply & Inventory Planning
Balance inventory levels, optimize replenishment, and align supply strategies with service-level goals.
Integrated Business Planning (IBP)
Align demand, supply, finance, and operations through a unified, collaborative planning process.
Sales & Operations Planning (S&OP)
Coordinate cross-functional inputs for accurate mid-to-long-term plans that balance demand and capacity.
Scenario & Risk Modeling
Run what-if simulations to anticipate disruptions and formulate mitigation strategies in real time.
Network Optimization & Visibility
Optimize warehouse, supplier, and logistics network design using advanced analytics and digital twins.
Services to help clients deliver personalization. Find out more
Strategic Services Offered
Delivering future-focused capabilities for a data-powered enterprise.
Demand Planning Advisory
Establish AI-driven demand planning processes and select fit-for-purpose tools tailored to industry needs.
Inventory Optimization Services
Reduce working capital while improving service levels using data-backed inventory strategies and automation.
S&OP Process Design & Enablement
Implement end-to-end S&OP processes with stakeholder alignment, tech platforms, and governance models.
IBP Implementation
Deploy integrated planning solutions that link finance, operations, and commercial teams on a single planning horizon.
Customer Retension
Happy Clients
High quality products and solutions that we stand behind
Forecast Optimization for a Retail Giant
Objective: Improve demand accuracy across 1,200 SKUs in 4 regions.
Solution: Deployed AI-powered demand sensing with POS data and automated forecast updates via SAP IBP.
Outcome Expected: 25% improvement in forecast accuracy, 18% reduction in stockouts, $5M/year savings.
S&OP Transformation for Electronics Manufacturer
Objective: Align regional demand and supply planning to reduce overproduction.
Solution: Implemented cloud-based S&OP workflow, with scenario planning and executive review integration.
Outcome Expected: 30% reduction in excess inventory, improved planner productivity, faster decision-making cycles.
Network Redesign for Pharma Supply Chain
Objective: Optimize distribution centers and lower logistics cost.
Solution: Built digital twin of network, simulated routing scenarios, and relocated DCs for demand proximity.
Outcome Expected: 22% lower logistics costs, improved on-time delivery from 87% to 96%.
Operational Cost Savings
Data Points Analyzed per Day
%
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