Navigate Retail challenges with Unified Data Platform
- Integrate data from all retail channels to get a unified view of operations and customer behavior.
- Apply retail analytics to identify trends, forecast demand, and tailor customer engagement.
- Use real-time insights to manage inventory, logistics, and staffing with greater precision.
Maximize Retail Efficiency with Infoveave
Unify Your Data
Centralize data across all your platforms, vendors, warehouses, and stores for a consolidated view of the retail business. Track how customers interact and streamline decisions with unified reporting and dashboards.
Simplify Processes
Automate workflows like invoicing, feedback collection, and customer interactions using GenAI. Improve operational efficiency across inventory, staffing, and logistics without manual intervention.
Amplify Your Insights
Leverage retail data analytics to track product performance, pricing patterns, and channel-specific KPIs. Use machine learning and demand forecasting to anticipate sales trends and identify business opportunities. Stay ahead with alerts on anomalies and missed targets.
Marketplace Visibility
Integrate all your data sources to get a real-time, end-to-end view of product performance, campaign ROI, and regional trends. Use descriptive analytics to analyze historical data and understand customer behavior, enabling smarter pricing and discount strategies.
Product Performance Analysis
Break down retail data by department, category, and timeframe. Identify top-performing SKUs, seasonal shifts, and underperforming areas. Run what-if analysis to simulate discounts and measure potential sales impact. Apply diagnostic analytics to uncover root causes of performance dips.
Product Pricing Optimization
Analyze internal and competitor pricing data along with historical sales and customer behavior. Use predictive analytics to forecast pricing outcomes and optimize margins. Consider production, storage, and supply chain costs to recommend optimal prices across channels.
New Merchandise Planning
Run simulations for new product bundles, promotions, and assortments. Infoveave integrates with store APIs to unify product content across platforms. Use prescriptive analytics to forecast buying trends and plan inventory accordingly.
Revenue Assurance
Apply diagnostic and predictive analytics to uncover potential revenue loss points—such as pricing mismatches, SKU drop-offs, or fraud patterns. Set rule-based alerts for deviations and use ML to flag unusual revenue activity early.
Shipment & Logistics Optimization
Track shipments down to the last mile through delivery API integrations. Identify delivery delays, cost variances, and reconciliation gaps. Evaluate expenses by route, weight, and service level to optimize supply chain efficiency.
Visualize your retail insights
Explore more dashboard examples
Stay on Top of Every Retail KPI with Infoveave
Integrate all your data sources, map them to your KPIs, analyze your data and visualize insights.
Gross Profit Margin
Gross profit margin is the percentage of revenue retained by a company after removing the cost of goods sold from the net sales revenue.
Gross Profit Margin = ((Net sales - Cost of goods sold) / Net sales) x 100
Net Promoter Score
Net Promoter Score gauges customer loyalty by asking, 'How likely are you to recommend our product to a friend or colleague?'.
Net Promoter Score = Percentage of promoters – Percentage of detractors
Inventory Turnover Ratio
Inventory turnover ratio measures how efficiently a company manages inventory by comparing cost of goods sold to average inventory levels.
Inventory Turnover Ratio = Cost of goods sold / Average inventory
Average Order Value
Average order value measures the average amount customers spend per transaction within a specific period, such as monthly or annually
Average Order Value = Sales / Number of orders
Sell Through Rate
Sell-through rate measures the percentage of inventory sold during a specific period relative to the total inventory available for sale.
Sell Through Rate = (Total units sold / Beginning inventory) x 100
Customer Satisfaction Score
Customer satisfaction score is a metric used to measure the level of satisfaction that customers have with a company’s products or services.
CSAT Score = (Number of satisfied customers / Number of respondents)