Demand forecasting breaks the moment volatility spikes. Supplier risk is invisible until the factory burns down. Multi-tier supply networks never sync data cleanly. Inventory sits in warehouses while units are out of stock elsewhere. Consult Saksham has built supply chain systems where visibility actually informs decisions and those decisions actually reduce cost.
Demand forecasting under volatility and seasonality, supplier risk assessment and monitoring, inventory optimisation across multi-echelon networks, data harmonisation from vendor systems. The practice has shipped systems that actually reduce inventory days while improving fulfillment rates.
Static models fail when the world changes. Consult Saksham has built demand forecasting systems that adapt to demand shocks, handle seasonality correctly, and weight recent volatility without over-reacting to noise.
Too much inventory in warehouses, not enough in the right locations, kills margins and fulfillment. Consult Saksham has built systems that rebalance inventory across the network before stockouts, pushing safety stock where demand is highest.
Supplier problems don't surface until orders are missed. Consult Saksham has built supplier risk systems that monitor financial health, geopolitical exposure, and production capacity, surfacing problems early so you can diversify before crisis.
Three to four weeks. Principal-led platform, data, and delivery review with a written plan.
Monthly retainer at the right cadence for the stage. Weekly call, hire panels, board prep.
Build, buy, partner across the Supply Chain-relevant use cases. Governance and economics included.
Ten to fifteen business days. Investor memo, 100-day plan, direct readout.
The supply chain was global, the forecasting was not. Regional teams used different models, different assumptions, and different data sources. Inventory days were climbing and fulfilment rates were slipping below customer SLAs.
Saksham unified the forecasting models across regions, standardized data inputs, and implemented a demand-sensing layer that adjusted forecasts weekly instead of monthly. MAPE dropped to 8.2%. Inventory days decreased 14%. Fulfilment rate climbed to 99.1%.
The first conversation is thirty minutes. By the end of it, the shape of the engagement is clear.