Salil Parashar

Associate Partner

Bengaluru, Karnataka, India10 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 10 years of retail experience.
Expert in supply chain and inventory management.
Proven track record in project management.

Stackforce AI infers this person is a Retail Supply Chain Expert with strong analytical and project management skills.

Contact

Skills

Core Skills

Merchandise PlanningSupply Chain ManagementInventory ManagementLogistics Management

Other Skills

AnalyticsAuto Replenishment SystemCC++Customer Oriented Store PlanogramData AnalysisData AnalyticsData ScienceDemand PlanningDynamic In-season MarkdownLean ManagementMachine LearningMacro (MS Excel)ManagementMicrosoft Office

About

Talented professional with 10+ years of progressive retail experience in managing business initiatives in the field of - Merchandise Planning - Demand Planning - Warehousing & Logistics - Inventory Management Strong in strategic planning & execution, Good in problem solving & an excellent team player. Committed for managing projects & operations while consistently delivering desired results & adding value to the organisation.

Experience

Myntra

3 roles

Associate Director

Promoted

Apr 2024 – Present · 1 yr 11 mos

As a planning lead, managed planning for brands spanning across apparels, footwear, beauty & personal care, accessories & home furnishings. Led projects across improvement of stock selection tool, automation of replenishment process & supply sufficiency for quick commerce channel (M-now). Managed & motivated a team of 9 resources
Joined the group as Senior Manager in 2020 and started managing Women's Apparel & Kids portfolio. Progressed as Deputy Director in 2022 with additional responsibility of managing planning for Beauty & Personal Care category. Currently working as Associate Director since 2024 handling planning for all Non Size Categories along with assortment design for M-Now (Q-commerce) channel
o Responsible for full E2E stock planning & selection for an INR 8,000 cr. (USD 936 Mio) annual business. Analytics based pre-season buying, in-season health management (Brokenness | Freshness | OSA) & post-season correction (RTV/Markdown/Liquidation)
o Brought in agility through a multi-tranche monthly planning approach (+2.5% in STR%)
o Expanded to attributed based planning (mSKU) to optimize selection for fashion led categories (+1.3% in STR%)
o Analyzed the historical trends & competition benchmarks to finalize the core assortment design for Q-commerce strategy. Cohort creation for Zonal, Local & Hyperlocal selection offering based on catchment demand patterns & available space
o E2E supply sufficiency project management including monitoring demand variations (MAPE),timely order creation, enabling right capacity at right place & pushing quicker stock delivery
o Developed an Automatic replenishment system (ARS) based on Data Science led Rate of Sale (RoS), MAPE based Stock Cover (DoH) & supply Lead time (TAT) for core merchandise (-40 cr Working capital | +10% Availability)
o Enhanced selection tool by incorporating business critical parameters like pivotal size, brokenness, size curve, mSKU, Top Seller, DS led RoS to support right selection (+1.5% in STR)

Merchandise PlanningDemand PlanningInventory ManagementLogistics ManagementSupply Chain ManagementData Science+1

Deputy Director

Promoted

Apr 2022 – Apr 2024 · 2 yrs

Senior Manager

Jan 2020 – Apr 2022 · 2 yrs 3 mos

Arvind fashions limited

2 roles

Manager

Promoted

Apr 2019 – Jan 2020 · 9 mos

Customer Centric Store Assortment
Analyzing historical transaction data, competition benchmarks, product mix guidelines & business outlook to arrive at
Optimized store area reallocations • Product line plan guidance
Product store guidance/planogram • Product allocation & depth (OTBs)
o Store assortment planning at product attributes level to cater the varying customer preferences across the Indian geography & maximize the rate of sale (ROS) & profitability
o Machine Learning (ML) algorithms to predict the potential of the new designs & assist product buying decision.
o Size level allocation optimization to bake in regional size preferences thereby reducing the probability of size level stock-outs
Dynamic In-season Markdown
Dynamically discounting of store stock to achieve sell-through targets.
o Algorithm to calculate the target ROS required to achieve the target sell-through basis in season read & historical trends
o ML algorithm to predict the next 2 weeks sale potential of the stock at different discount levels & arrive at the optimum discount suggestions
o Dynamic in season discounting lead to better sell-through (increase by ~7%) & reduced residual stock

Machine LearningStore Assortment PlanningDynamic In-season MarkdownInventory ManagementLogistics Management

Assistant Manager

Aug 2017 – Mar 2019 · 1 yr 7 mos

As part of the corporate Strategy Team, I manage improvement projects across different brands of Arvind Lifestyle.
Overlooks expansion & improvement of Auto Replenishment System (ARS) for brands like USPA, Arrow, Flying Machine & megastores like Unlimited
Handles projects related to customer oriented store planogram, Dynamic planogramming, Sell Through the improvement
Designing & implementation of Backend ARS Tool which assists Central Sourcing Team to manage replenishment from suppliers to Arvind Lifestyle for Core merchandise.

Auto Replenishment SystemCustomer Oriented Store PlanogramInventory Management

Landmark group

Logistics Associate

Apr 2015 – Jul 2017 · 2 yrs 3 mos · P O Box 25030, Floor 20, Landmark Tower, Marina, Dubai, UAE

Part of the Corporate Supply Chain team, responsible for driving group-wide projects across the 10 GCC & Levant countries. Handles 12 retail brands of apparels, footwear, cosmetics, accessories, household items & furniture.
Supply Planning & Stock Availability Improvement
o Replenishment Model: Identification of the optimum replenishment model for the SKUs in footwear categories. Transition from S1G1 model of replenishment to Min-Max replenishment model for Medium lifespan & continuous line SKUs.
o Data Analytics: Static Min-Max simulation on the selected SKU cluster, aligning the business unit to the change. 20% improvement in the stock availability with sustained results for 4 weeks.
Distribution Centre (DC) Operations Management
o Warehouse KPIs: Improved warehouse performance by ensuring establishing a mechanism to monitor operations KPIs, ensuring adoption of Standard Operating Procedures and adoption of supporting tools.
o Resource Realignment & Cost Optimization: Realignment of resources with organisation’s strategy to increase the component of flexibility in the operations & reduction of supply chain cost by 8%
o Labour Management System: Managed end to end deployment of ORWMS Labour Management System (LMS)
o Lean Transformation & Process Improvement: Executed ‘Lean Management’ principles through best practices and global benchmarking. Increased productivity in the bottleneck activities like picking (by 15%), store returns consolidation (by 30%), stock order fill rate (by 5%) & stock turnaround time (by 30%).

Supply PlanningData AnalyticsWarehouse KPIsLogistics Management