Our integrated custom S&OP solutions built from first principles enable clients to control and customize their planning processes. Our models help streamline demand planning, that results in accurate material planning and optimal inventory, which further results in higher service levels and lower working capital.
We develop customized tools for forecasting demand using various approaches based on the client’s business operations. We employ a full range of custom-modeling options and detailed visualization tools to cater to various business needs.
We develop robust applications that work in sync with the client’s ERP systems to develop supply plans for placing orders from suppliers’ manufacturing units or from external vendors for both raw materials and finished goods. Our solutions incorporate supplier lead times, component availability, demand schedule, inventory positions, MOQs, optimal order quantity, and other client-specific constraints to generate accurate order planning schedules that suit the needs of the business.
Managing optimal inventory levels is a common problem area for businesses. The risk of stock-outs has to be balanced with the working capital requirements and holding costs of excess inventory.
To address this problem, we use analytical techniques to accurately estimate safety stock levels and optimum inventory requirements at SKU, product group, customer and location level based on demand forecast, demand volatility, lead times, lead time variability, target service levels etc. We provide clients with a user-friendly way to estimate the safety stock, optimal inventory and track the variations in inventory levels and predict stock-outs on a daily or weekly basis.
Businesses are always trying to optimize their network footprint and flow of goods and services, to reduce logistics and distribution costs. We leverage historical and forecasted flow of goods to design the optimal location network and channel for lower distribution costs. We also tap directly into the third-party APIs of the logistics providers to model the real-time costs and provide dynamic logistical solutions.
We also analyze FedEx, UPS or local courier shipments data (through EDI or APIs) to accurately identify contract compliance and summary of invoicing broken out into various components, that allows for robust analyses for cost reduction opportunities.
We develop analytical solutions to optimize Manufacturing Operations. We partner with clients to generate capacity planning models based on demand forecast and inventory benchmark, identify capacity bottlenecks through OEE modeling and plan production schedules. This results in higher capacity utilization and better planning of capital expenditure.
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