• Manthan
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  • Merchandise Management

Merchandise Management: Create possibilities with every daily merchandising decision that you take

There is no other way for merchandising to go, but become predictive. With Merchandising Analytics from Manthan, merchandisers can now make informed decisions, daily, at strategic and tactical levels. A wide array of reports, dashboards and analyses are made available which can help you sharpen decisions and enhance productivity and profitability. Merchandising analytics can help optimise merchandise and assortment performance, track new product performance, optimize markdowns and promotions and improve price realisation. It ensures that every daily decision, by every role in merchandising, is based on an informed analysis of product and store performance.

ARC Merchandise Analytics Benefits

Benefits

  • Optimize merchandise and assortment performance
  • Maximise sell-throughs
  • Control shrinkage
  • Track new product performance
  • Optimize markdowns and promotions
  • Improve price realisation
  • Optimize allocation
  • Rationalize products
  • And all this, across all roles in merchandising

Features

Product Affinity Analysis: Identify the items that are likely to be purchased together. Discover products with both natural and artificial affinity and develop optimal promotions.

Product Rationalization: Manage a successful and profitable assortment mix. Boost sales through well-planned assortments.

Sales analysis: Track store performance across parameters. Identify sales and margin growth. Evaluate store size and employee strength against margins.

Demand planning and forecasting: Analyze demand across multiple dimensions - product, category, store, cluster, online and mobile channels, and supply chain to get a granular view of demand determinants. Perform forecasting and simulation algorithms for predicting demand.

Assortment planning: Track assortment plan, optimize assortment mix, track sell-through, formulate selling strategies, and identify cross-sell and up-sell opportunities.

ARC Merchandise Analytics Features

 

Inventory Management: Minimize inventory carrying costs, stock-outs and emergency replenishment costs. Identify negative margin and stock holding trends. Identify stock movement and liquidation opportunities. Manage perpetual and promotional inventory.

Promotion and markdown analysis: Track promotion effectiveness, stock availability and buying needs. Track plan against actual markdowns, optimize markdowns by analysing sell-through trends.

Loss prevention: Identify potentially fraudulent transactions. Evaluate various sources of shrinkage. Track out-of-hour transactions and discounts.

Supplier analysis: Compare vendors of similar products on different performance metrics. Provide access to vendors to reduce stock-outs and improve delivery time. Rank vendors based on scorecards.

Allocation planning: Allocate the appropriate stock to each store to ensure product availability at the right time in the right place. Profiling based allocation planning helps planners allocate the right size ratios for each store and avoid generation of cut sizes.

Space & Placement Performance: Detailed control of space and display planning process with single data repository to enable ideal planograms and visualization.

Pricing analysis: Track your competitor’s moves and apply rules-based pricing strategies for better sales without sacrificing margin.

Multi-channel order management and fulfillment: Enables single view of multi-channel orders, movement and fulfillment across disparate systems to efficiently utilize inventory across all locations, processes (store or direct) and channels.

Summary

For the merchandiser, Merchandise Analytics is both time and money. Merchandisers have analysed information to rely on for daily decisions. This reduces decision-making time and leaves you free - with relevant information - for strategic planning to improve store performance. For the merchandiser, Merchandise Analytics takes the uncertainty out of daily decisions and replaces it with profitable probability.