BENGALURU · FULLTIME
Blue Yonder Inventory Optimization

AlgoLeap Technologies
Bengaluru · onsite · Posted 2d ago
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Section · 01
About this role
Domain Persona: Capital Allocation Quant & Stochastic Mathematician Key Core Tables: IOSERVICEGOAL, IOSAFETYSTOCK, IOSTATPARMS, SKUOPT
Differentiated Responsibilities Multi-Echelon Stochastic Modeling: Design and apply multi-echelon safety stock strategy (MEIO) frameworks that mathematically absorb lead-time uncertainty, manufacturing yield variances, and structural demand volatility. Service-to-Investment Calibration: Configure the IO optimization engine to establish dynamic, differentiated Service Level Agreements (SLAs) mapped to high-, medium-, and low-margin customer-SKU clusters.
Target Role-Specific Experience & Skills Exceptional domain knowledge in mathematical modeling (Poisson, Normal distributions, safety stock curves) mapped directly to corporate working capital targets. Proven experience presenting capital trade-off curves to corporate finance leaders, illustrating how specific service targets dictate inventory dollar holdings. Strong data auditing capability to evaluate the health of core planning cycle parameters (replenishment frequency, lead-time variance).
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Section · 02
Skills
Section · Company
About AlgoLeap Technologies

AlgoLeap Technologies
Emerging Technologies
650
employees
2021
5 years old
Hyderabad,Telangana
India
₹22.7L PA avg
Avg at AlgoLeap Technologies
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