Manoj Nair

• Facilitate forecast meetings, including forecast build and Consensus reviews, for customers (Woolworths, Coles, and Metcash).
• Provide detailed, data-driven insights into the business performance using the demand forecast, reflecting on growth compared to prior periods, changes in baseline, and changes in promotional strategy at a customer level.
• Escalate any shortages or excess demand that could adversely impact either cost or service targets.
• Update forecast accuracy and forecast bias (FCA and FCB) and SKU count KPIs for the regional service scorecard.
• Update baseline numbers and demand forecast into IBP, review promotional tactics and volumes.
• Assist to analyze and interpret customer scan sales to provide insights to sales team on current customer trends, including competitor behaviors.
• Review promotional activity weekly by reviewing scan data in conjunction with sell-in data.

• Business units - Retail business (Modern Trade, E-commerce, and General Trade), Exports, and Chain Restaurants.
• Leading monthly Consensus/Demand Review meetings with Sales and Marketing, and finalizing rolling 24-month forecast with stakeholders.
• Capturing and applying current trends, key Market Insights, distribution gains, events, Geographical Expansion into Consensus Planning.
• Capturing and aligning building blocks yearly to derive Spring plan and supply plan for every financial year.
• Weekly connect with Supply to call out any challenges from demand planning and change in plan.
• Reviewing and aligning the promotion plan with Sales on a monthly basis.
• Tracking to KPI monthly by reporting challenges and opportunities, and advising specific action plan.
• Conducting Internal Business Review with SLT to review past and future performance, address challenges, and identify opportunities.
• Evaluate and calling out Key Performance Indicator such as Forecast accuracy, Bias, Slow & Obsolete Inventory for liquidation
• Identify & Review SKUs based on exceptions - BIAS, Trends & MAPE
• Quantitative Planning -Statistical Modelling Review
• Weekly Sales and Supply Planning review and communicate Production & Service issues.
• Managing stocks, working with Supply Planning, and calling out Risks.
• Conducting weekly review with Marketing and Sales, and communicating demand changes to Supply Planning for new SKUs.

• Execute DP process for US Cereal retail business.
• Work closely with DDP, Sales, and Marketing to resolve demand-related queries.
• Partner with DDP to deliver actionable insights to Supply Planner and Deployment teams.
• Collaboration with DDP, Sales, and Marketing to understand and incorporate customer-specific event information on top of baseline forecast.
• Drive improvement in forecast accuracy with the help of bias analysis, trend analysis, and DP vs DS analysis.
• Create, monitor, and analyze statistical forecasts in APO.
• Provide regular reporting and updates on key performance metrics, such as forecast error.
• Proven capabilities in coordinating with internal and external stakeholders for running a successful business and experience of implementing procedures for business excellence.
• Monitored trends in customer demand for products, adjusting forecasts accordingly.
• Collaborated with other departments to identify potential risks or opportunities in supply chain operations.
• Performed analysis of data from multiple sources such as market research, sales figures, supplier information and competitor activity.

• Avoid cost by analysis and implementation of key decisions, like repositioning and shelf-life extension, to reduce or eliminate finish product waste in the network caused by market fluctuations.
• Analyze age risk at the item/location/date code level and analyze it with respect to future demand, taking into consideration the past trend.
• Set up the end-to-end age analysis process for Canadian Business from age analysis till Clear-out, Donate, and Destroy.
• Automated manual data processing, which helped reduce time by 30 min per age tool (Total 17 age tools).
• Worked on to optimize and automate age process, which helped in faster and accurate decision making, improving productivity while reducing redundancy.
• Conducted data analysis, developed reports and presented findings to senior management.
• Developed and implemented new procedures for streamlining operations.
• Prepared cost-benefit analyses to evaluate potential business investments.

• Understanding and executing a statistical analysis plan (Weighing) with SAS programming.
• Review project requirements and execute statistical projects as per requirements, following guidelines and deploying the tools/systems as applicable.
• Conduct data profiling as instructed with SAS and SPSS tools.
• Conduct quality checks and ensure input and output data quality.
• Worked on statistical techniques like significance testing, post hoc test, linear regression, and survival analysis.

Worked for eBay, which includes online quality check of eBay's product pages.

Worked for E-commerce solutions, searched the data for products, and made the product page look better with all the features, which helps to increase the exposure of end-users to eBay's products.

• Create and manage MIS report for HDFC Credit Card department.