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Seamless Brand Experience
Singular view across omnichannel.
Ensure product availability and sell-through.
Identify Web Issues
Leverage sentiment analysis for positive change.
Omni-Channel Use Cases
Profitect’s Omni-Channel module optimizes buy online / pick up in store (BOPUS) by identifying characteristics such as products with high BOPUS orders, stores with excessive cancellation rates, and customers with preference for BOPUS. These data elements enable you to converge between in store and online, which Profitect analyzes to increase store execution and inventory accuracy, product preferences, and customer attributes.
Based on browsing habits based on a retailer’s website, Profitect can identify average page visit duration and consumer behavior for abandoned carts. Profitect’s prescriptive actions include programs such as email campaigns with images of abandoned items, promotional coupons, and website enhancement suggestions.
Profitect identifies the most commonly used key words in online reviews and ratings for certain products. This data paired with information like sales and returns, leads to early identification of key features important to customers, as well as product quality issues. Prescribed actions include adding fit and sizing recommendations to a product page, among others.
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Move Beyond Omni-Channel
Profitect’s Omni-Channel module enables you to use statistical metrics at the vendor, customer, product, channel, and logistics level to advance overall omni-channel performance and accuracy. The solution looks for anomalies within data such as sell through, cost to serve, delivery rate, allocations, and fulfillment to identify opportunities and actions that will move you beyond unified commerce and help you create a truly customer centric experience.
Leading Retail Customers
“…after all the time and money spent implementing a solution, the passive nature of the reports delivered by most vendors leaves traditional business intelligence tools underutilized and undervalued”.
John Dean, CIO, ascena retail group
Areas Profitect Analyzes
- Cost to serve curve by consumer cluster
- Abandon cart root cause analysis
- Consumer Profitability
- Localized assortment by zip zone
- Improve Inventory accuracy
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Prescriptive Analytics is Making Waves with Retail and CPG Companies