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Insight for Retail—Rapid Business Decisions for Retail

Description

Omniture® Insight for Retail is now Adobe® Insight for Retail, powered by Omniture®. Adobe Insight for Retail provides organizations with rapid customer insights using real-time analysis of very large volumes of continuously changing point-of-sale, kiosk and inventory data. Insight for Retail correlates that data to online interactions for a deeper understanding of customer responses across multiple channels. Adobe Insight is part of the Adobe® Online Marketing Suite of business optimization applications.

Business Challenges

Customers interact with retailers through a variety of channels—including over the Internet, at a store or kiosk, or over the phone. Marketers and merchandisers must correlate interactions across multiple channels to gain a better understanding of customer behavior and preferences.

Retailers need to target customers with relevant messages delivered through the correct channels—backed by a merchandising strategy that ensures products and services are available to meet resulting customer demand. And as the number of marketing and retail channels proliferate and customer behavior trends rapidly evolve, retailers need to be agile and nimble to keep up with all these changes.

Solution

Adobe Insight for Retail helps analyze point-of-sale, kiosk and inventory data, and correlates those with online customer interactions.

  • Merchandise Planning

    Comprehensive support for next season's merchandise decisions through in-depth understanding of customer behavior and purchase patterns.

  • In-Season Performance

    Understand actuals and trends versus plan to manage inventory adjustments, re-allocations, markdowns and promotions.

  • Store Operations

    Support for operational decisions such as optimal staffing and customer service levels, loss prevention, real estate and layout planning.

  • Multi-Channel Analytics

    Track customer movement across different channels to understand and manage cross-channel influence.

  • SKU-Level Analytics

    Addresses the retailer's unique need for manipulation of very large and rapidly-changing data sets.

Merchandise Planning

  • Cross merchandising analysis to understand affinities and assortments at the SKU and category level
  • Store clustering and localization analysis helps develop assortments and plans that align with customers' preferences based on where they shop
  • SKU rationalization and assortment analysis identifies the sales and margin contribution of all items
  • Customer purchase analysis to understand the purchase behavior of any customer segment, based on any customer attribute
  • Customer Recency Frequency and Monetary Value (RFM) Analysis to identify high and low customer segments based on customer behavior
  • Customer geography analysis helps retailers understand where their highest value customers reside & which locations they primarily visit

Multi-Channel Analytics

  • Understand customer behavior and purchase patterns across all touch points
  • Leverage insights gained from highly measurable channels for other channels
  • Track customer movement across different channels to understand and manage cross-channel influence
  • Out-of-the-box integration with Adobe® SiteCatalyst® to correlate web behavior to offline interactions

In-Season Performance

  • Plan performance analysis measures actual sales versus plan to manage purchasing for in-season inventory adjustments, allocations and re-allocations
  • Merchandise performance and sell thru analysis provides day-to-day analysis for out-of-stock minimization, markdown and clearance reduction
  • Promotion and markdown analysis measures promotion effectiveness and markdown impact to the bottom line
  • Vendor analysis determines vendor profitability and creates benchmarks to assess buyer performance
  • Inventory control analysis ensures the right level of stock is on hand for the amount of sales being generated

Store Operations

  • Store performance analysis helps with deciding optimal staffing and customer service levels, and identifies which stores and store clusters are over- or under-performing
  • Loss prevention analysis allows retailers to analyze and identify occurrences of cash overs/shorts, transaction irregularities and suspicious returns
  • Return to vendor ("RTV") and special order analysis (by customer, location, vendor and item)
  • Real estate and format planning analysis helps pinpoint new locations and plan improved formats and layouts