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Our Solutions

Store.Y

Get Your Store Inventory Allocation Hyper-Localized

Traditional ways of distribution planning and understanding the taste of stores, clustering them based on vanity metrics fail to meet the dynamic nature of consumer demand in the market. Inventory allocation methods used until now are based on a rule-based plan. Rules are hardcoded and do not consider the dynamic changes in consumer taste and local market conditions. We still see store clustering in terms of a volume group, static demographics, etc. Inventory optimization starts with an understanding of the True-Demand™ of a store at the style-colour-size level. Inventory allocation is challenging considering sparse data of demand at the finest level across stores. This makes your life as an allocator very challenging. 

The key questions for you as an allocator are: 

  • How do you distribute new products for which there is no historical data?
  • How do you distribute short lifecycle products?
  • How do you distribute basic or seasonal products?
  • How do you do all of this with constraints of inventory, assortment requirement, revenue targets and store space?

In today’s volatile market, there is no room for guesswork or reliance on static rule-based distribution planning. A new paradigm is needed to bring consumer taste in the context of an assortment while predicting the demand of styles to stores or channels. What this means is to sense demand dynamically considering changing assortment in a store. Store.Y uses our proprietary consumer taste model for inventory optimization. Store.Y lets you have the right inventory at the right place and at the right time. The idea is to optimize inventory allocation by moving into hyper-localized assortments. Store.Y provides you the ability to be empowered with data as you think about not just one product but look across multiple products streamlining the inventory allocation process to focus on outcomes.

From the voice of our customers, using Store.Y, “ Allocators are the strategic voice of the stores while the buyers know the product, the allocators are not empowered with in-store insights of every product”. Store.Y helps our customers in reducing overstock and minimizing understock situations by well over 30% from the baseline.

Benefits

Consumer taste driven distribution planning

While you know what trends are going on but what you need to achieve is a fundamental understanding and accuracy at the hyperlocal store level. Store.Y detects this through it’s consumer taste-model by mapping consumer demand at style colour size level within an assortment. Distribution planning with Store.Y helps you minimize the overstock and understock situations and in turn, helps you optimally utilize the inventory in-season. This consumer taste driven distribution planning helps you maximize the outcomes of revenue and profit. One of the biggest challenges for you is demand prediction for new products. Store.Y lets you predict demand even for unseen new products and optimizes inventory allocation in minutes.

Accurately allocate inventory 10x faster

Store.Y does most of the hard work and simplifies your job as an allocator from ten plus steps to under five steps. It saves a lot of time and helps you focus on what you are good at. Inventory optimization is 10x times faster through Store.Y as you can dynamically take intelligent inventory allocation decisions regarding replacement and replenishment of inventory. Replace sold-out styles with new ones through Store.Y's advanced inventory optimization feature, you will have the opportunity to apply constraints before optimizing inventory allocation. This gives you the power of driving the outcomes using your contextual intelligence. With our proprietary visual intelligence algorithm, you can confidently make inventory allocation decisions for new product introductions and replacements.

Relevant for: Merchandisers, Planners,
Store Frontend Employees.
Want to know how?

Our Solutions

Store.Y

Get Your Store Inventory Allocation Hyper-Localized

Traditional ways of distribution planning and understanding the taste of stores, clustering them based on vanity metrics fail to meet the dynamic nature of consumer demand in the market. Inventory allocation methods used until now are based on a rule-based plan. Rules are hardcoded and do not consider the dynamic changes in consumer taste and local market conditions. We still see store clustering in terms of a volume group, static demographics, etc. Inventory optimization starts with an understanding of the True-Demand™ of a store at the style-colour-size level. Inventory allocation is challenging considering sparse data of demand at the finest level across stores. This makes your life as an allocator very challenging. 

The key questions for you as an allocator are: 

  • How do you distribute new products for which there is no historical data?
  • How do you distribute short lifecycle products?
  • How do you distribute basic or seasonal products?
  • How do you do all of this with constraints of inventory, assortment requirement, revenue targets and store space?

In today’s volatile market, there is no room for guesswork or reliance on static rule-based distribution planning. A new paradigm is needed to bring consumer taste in the context of an assortment while predicting the demand of styles to stores or channels. What this means is to sense demand dynamically considering changing assortment in a store. Store.Y uses our proprietary consumer taste model for inventory optimization. Store.Y lets you have the right inventory at the right place and at the right time. The idea is to optimize inventory allocation by moving into hyper-localized assortments. Store.Y provides you the ability to be empowered with data as you think about not just one product but look across multiple products streamlining the inventory allocation process to focus on outcomes.

From the voice of our customers, using Store.Y, “ Allocators are the strategic voice of the stores while the buyers know the product, the allocators are not empowered with in-store insights of every product”. Store.Y helps our customers in reducing overstock and minimizing understock situations by well over 30% from the baseline.

Benefits

Consumer taste driven distribution planning

While you know what trends are going on but what you need to achieve is a fundamental understanding and accuracy at the hyperlocal store level. Store.Y detects this through it’s consumer taste-model by mapping consumer demand at style colour size level within an assortment. Distribution planning with Store.Y helps you minimize the overstock and understock situations and in turn, helps you optimally utilize the inventory in-season. This consumer taste driven distribution planning helps you maximize the outcomes of revenue and profit. One of the biggest challenges for you is demand prediction for new products. Store.Y lets you predict demand even for unseen new products and optimizes inventory allocation in minutes.

Accurately allocate inventory 10x faster

Store.Y does most of the hard work and simplifies your job as an allocator from ten plus steps to under five steps. It saves a lot of time and helps you focus on what you are good at. Inventory optimization is 10x times faster through Store.Y as you can dynamically take intelligent inventory allocation decisions regarding replacement and replenishment of inventory. Replace sold-out styles with new ones through Store.Y's advanced inventory optimization feature, you will have the opportunity to apply constraints before optimizing inventory allocation. This gives you the power of driving the outcomes using your contextual intelligence. With our proprietary visual intelligence algorithm, you can confidently make inventory allocation decisions for new product introductions and replacements.

Relevant for: Merchandisers, Planners,
Store Frontend Employees.
Want to know how?