Product Manager [CCP for Retails Professionals & Associates]

Key Responsibilities: Develop category and product assortment plans using  AutoCount  and Excel based on demand, sales, product performance and inventory.

Conduct retail market visits, competitor store checks and showroom assortment reviews, and consolidate findings in  Excel.

Evaluate potential new products, categories and brands using  Excel -based comparison models covering specifications, pricing, customer fit and competitor offerings.

Review sales, stock levels and inventory movement in  AutoCount  before recommending additions or changes to product assortment across the Teka Experience Centre, reseller showrooms and online platforms.

Extract product sales, stock and inventory movement data from  AutoCount  and analyse the information in  Excel  to assess product performance by category.

Evaluate product and category performance using  AutoCount, Microsoft Excel  and  Power BI  to identify fast-moving, slow-moving and underperforming products.

Establish and monitor product and category KPIs using  Power BI dashboards , covering product movement, stock productivity and customer demand.

Identify products requiring prioritisation, repositioning or review, using  Excel and Power BI.

Prepare regular product-performance reports using  AutoCount, Excel and Power BI  to support product assortment and category decisions. 

Extract product sales, stock and inventory movement data from  AutoCount  and analyse it in  Microsoft Excel  and  Power BI  to identify product trends, category performance and customer demand patterns to improve the company’s product portfolio.

Develop  Power BI  dashboards to visualise product and category KPIs, stock movement and demand patterns.

Use  Excel and Power BI  to identify trends, exceptions and performance gaps across products and categories.

Organise and consolidate products, inventory and demand data to support structured product analysis.

Interpret product, category and inventory data from  Excel  and  Power BI  to identify meaningful areas of improvement for increased performance.

Compare results across products, categories, time periods and sales channels to understand performance differences and emerging patterns.

Assess the impact of slow-moving, underperforming and high-demand products on product assortment and category priorities.

Translate findings from  AutoCount, Excel  and  Power BI  into recommendations on product assortment, category priorities and product planning.