Customize Your Demo: Choose Your Critical Business Issues

Please select a maximum of 8 critical business issues that are the most important and relevant to you today:

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Database Management

Inconsistent scanning data formats across multiple retailers.

Limited access to full Category scanning data for the categories you participate in.

No server or IT infrastructure is available to effectively host and manage Retailer scanning data within a category management database.

Inability to consolidate, update, and validate multiple retailer data sources into a single Category Management database.

Inability to combine category data with external sources, such as market research or consumer data, which may not align.

Product naming conventions are incomplete/inconsistent across stores.

Products are not classified into their relevant category, sub category, segment, and sub segment based on the consumer decision tree.

Inaccurate or incomplete geographic store information.

Raw product data related to category management is often not available when required.

How are differences in scanning data formats across multiple retailers currently handled?

How do you navigate limited access to full category scanning data for the categories you participate in?

How is retailer scanning data hosted and managed without access to a proper server or IT infrastructure?*

Currently, how are multiple retailer data sources consolidated, updated, and validated into a single category management database?

How is category data combined with external sources like market research or consumer data when alignment issues arise?

How are product naming conventions currently handled within your business?

How are products currently classified into relevant categories, subcategories, segments, and sub-segments within your business?

How is inaccurate or incomplete geographic store information currently addressed within your business?*

How is the availability of raw product data for category management currently handled within your business?

Category Cluster Optimization

No tools to assign stores and fixtures to clusters per category, causing mismatched ranges and space between supplier planograms, retailer assortments, and in-store fixtures.

Currently, how are mismatched ranges and space between supplier planograms, retailer assortments, and in-store fixtures currently managed without tools for assigning stores and fixtures to clusters per category?*

Assortment/Range Optimization

Decentralized ranging across retailer regions causes inconsistent supplier ranges, missed economies of scale, and reduced category performance.

Assortment decisions and strategies lack a data-driven foundation, and there are no clear KPIs to measure or define success.

Assortment decisions are not connected to the actual space availability on the shelf.

How are inconsistencies in supplier ranges and missed economies of scale caused by decentralized ranging across retailer regions currently addressed?

Currently, how are assortment decisions and strategies currently being made in the absence of a data-driven foundation and clear KPIs?

How is the alignment between assortment decisions and shelf space availability currently handled within your business?

Planogram/Micro Space Optimization

Inability to quickly update planograms to accommodate new products, discontinued lines, and data-driven space adjustments across retail channels.

Unable to align the placement of own-brand products with your merchandising strategy across retail channels.

Suboptimal own brand product placement on shelves in-stores due to inability to create data-driven planograms for product placements.

Unable to visually and financially demonstrate the impact and value of new product listings to Retailers.

Inability to effectively collaborate in Retailer Category Management programs, hindering the ability to secure optimal shelf space and maximize sales potential.

Unable to streamline merchandising efforts and equip field teams to maximize the positioning and space allocation of own-brand products over competitors.

Inability to analyse shelf space performance.

No clear KPIs to measure or define success.

Inability to ensure allocated space aligns with retailer trade agreements, leading to suboptimal ROI on supplier investments with retailers.

Inability to visually preview the product placement look and feel before implementing at store-level.

Unable to deploy various fixture types in planograms.

How are planograms updated to accommodate new products, discontinued lines, and data-driven space adjustments across retail channels?

How is the placement of own-brand products aligned with your merchandising strategy across retail channels?

How is own-brand product placement on shelves optimized without the ability to create data-driven planograms?*

How do you visually and financially demonstrate the impact and value of new product listings to retailers?*

How does your business collaborate in retailer category management programs to secure optimal shelf space and maximize sales potential?

How are field teams equipped to maximize the positioning and space allocation of own-brand products over competitors?

How is shelf space performance currently being analyzed and managed within your business?*

Currently, how is success measured and defined without clear KPIs?

How do you ensure allocated space aligns with retailer trade agreements to maximize ROI on supplier investments?*

Currently how is the look and feel of product placements visually previewed before store-level implementation?

How are various fixture types incorporated into planograms effectively?

Data Flow/Integrations

Point of sale data is not available or easily accessible for category management purposes.

How does cluster, range, or space planning data currently integrate with the replenishment engine and other systems?*

Store Communications & Compliance

Inability to communicate point-of-purchase strategies and tactics to stores.

The Field Marketing team is unable to implement planograms effectively due to a lack of software tools for communication and execution.

The Field Marketing team is unsure which planograms should be implemented in each store.

Field Marketing team implements old or incorrect planograms.

How are point-of-purchase strategies and tactics currently being communicated effectively to stores?*

How is your field marketing team equipped with software tools to implement planograms effectively?

How does the field marketing team determine which planograms to implement in each store?*

How does your field marketing team avoid implementing outdated or incorrect planograms?*

Talent Availability

Do not have people available to perform the category management function.

The people I have are not equipped to confidently perform the category management function.

Do not have the leadership capacity required to oversee and lead the category management function.

Shortage of IT skills availability to assist with technical and database implementation.

Lack of expertise in transforming raw data received from retailers into a structured format suitable for importing into the category management database.

How is staffing currently being managed to effectively support the category management function?*

Currently how are team members equipped to perform category management functions confidently?*

How is leadership capacity currently being developed to oversee and lead the category management function?*

How are IT skills and resources currently allocated to support technical and database needs for category management?*

How is raw data received from retailers transformed into a structured format suitable for category management databases?*

Looking To The Future

Creating new and comprehensively reviewed planograms are labour intensive.

Measuring store compliance to planograms is inefficient and labour intensive.

How are planogram creation and review processes currently being optimized to reduce labor intensity?*

How is store compliance with planograms currently being measured?*