Retail Analytics service combines data from multiple internal & external sources, provides automated analysis and diagnostics to drive insights from big data, and support faster decision-making
To compete in today’s highly transparent, competitive, and rapidly changing marketplace, retailers need to focus on price, efficiency, and growth. Retailers leveraging big data with the right analytics can make faster decisions along these dimensions.
In line with Solvoyo’s mission to drive digital transformation and automation for Planning decisions, Retail Analytics integrates data from multiple internal and external sources, drives insights from big data through visualization and diagnostic capabilities, and helps support decision-making faster and easier.
Make better and faster decisions
Our goal is to get you the information you need to make better and faster decisions by breaking the silos in the data sources and bringing you quick insights. There is no more need for spreadsheets, waiting for weekly reports, waiting for meetings to get the latest tactics.
No more spreadsheets
Solvoyo saves the merchants’ and planners’ time by doing all the heavy lifting in data processing and financial calculations to focus on more strategic tasks rather than spending hours across multiple spreadsheets. Real-time integration with ERP systems and automatic reconciliation capabilities bring efficiency into the planning process.
"Solvoyo’s automated and diagnostic alerts help us analyze the root causes of stock-outs at stores/DCs. We can easily identify issues in our supply chain and solve them. Even in times of rapid growth, we are increasing service levels and take actions to reduce stock-outs with less manual work."
Actionable insights support data-driven decision-making
Diagnostic analytics allow users to detect areas where they need
Actionable insights support data-driven decision-making
Leveraging analytics-driven inputs, such as dynamic lead times, in planning, keep the system recommendations in sync with current operational constraints
Leveraging analytics-driven inputs, such as dynamic lead times, in planning, keep the system recommendations in sync with current operational constraints
Track the impact of promotions on customer purchase patterns through POS data analysis
View images and metrics side by side for products purchased together
Differentiate how different categories, suppliers, or sales channels contribute to revenue, profitability, and cost
Analysis and visualization of sales frequency of items across channels
Predictive alerts for potential stock-outs
Visual reports combining images, and analytical insights
Bestseller report for Fashion Retailers combining product visuals and KPIs
Configurable UI includes all the important KPIs
Analyzes shopping behavior changes during campaigns and promotions
Identifies association between items purchased together and their pattern of occurrence
Tracks the impact of promotions on key KPIs through POS data analysis
Advanced analytics for understanding how the impact on demand drivers vary across products
Analyzes the level of impact of special events, promotions, weather events
Analyzes how demand changes based on price actions
Analyzes how price elasticity differs across product categories
Classifies products based on selected metrics to drive more effective strategies for inventory management and promotions planning
Automated diagnostics for root causes of stock-outs along the end-to-end supply chain
