With over 2,500 built-in metrics, hundreds of KPIs, reports, and dashboards, AcuitySpark is a powerful BI platform for predictive analytics in the retail industry, specifically for the fashion and apparel verticals. Its cloud-hosted enterprise data warehouse provides cross-channel visibility and a single version of the truth for enterprise analytics.


Best-of-breed, high-performance platform

AcuitySpark leverages the Amazon RedShift columnar database as its high-performance enterprise data warehouse, and MicroStrategy for analytics and self-service BI. AcuitySpark delivers industry-specific analytics while reducing the effort needed to create and deploy such sophisticated platforms, down from years to weeks. Contact our experts for a demo and an assessment of your environment.


Cloud Based PowerBI for Small and Midsize Businesses

Benefit from our decades of expertise in fashion and CPG business intelligence. Visionet can deploy the AcuitySpark retail BI solution in as little as six weeks. There are no capital expenses, long integration cycles, or training roadblocks. No additional staff is needed to maintain or support the system. If you have not experienced Power BI before, please call us for a quick demo.


Understand your customers and supply chain with enhanced acuity

With retail analytics software, take full advantage of real-time information on stock levels and your customers’ purchasing behavior to manage your supply chain and meet consumer demand with unprecedented agility. Listed below are just a few of the metrics that AcuitySpark provides to help you ensure business success:

Inventory Health

Keep track of stock levels with ease, and determine bottlenecks in your supply chain at a glance.

  • Allocated, in-transit, in-store, and DC inventory information
  • Markdown planning and execution
  • Sell-through analysis
  • Replenishment order analysis

Customer Insights

Monitor the effectiveness of marketing initiatives and quickly determine how recently, how often, and how much your customers are spending.

  • Better insight into customer journey and interaction with all channels
  • Maximum segmentation based on RFM analysis
  • Campaign analytics

Market Basket Analysis

Determine which sales items to promote together, which products to suggest to customers, and more.

  • Identifying transactions which contain specific products sold together
  • Calculating likelihood of a product sale in single transaction
  • Core Item Frequency/Affinity
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