AI That Understands Retail
Grow revenue, reduce margin leakage, and act faster with AI grounded in your business logic.
Retail teams are expected to move faster than ever-responding to shifting demand, optimizing product performance, and delivering better customer experiences. But most AI tools fall short because they don’t understand how your business actually works. Solid gives AI a trusted understanding of your retail data so it can answer questions accurately, surface real opportunities, and support action across your teams.
Built for How Retail Actually Works
Retail performance depends on context—products, customers, channels, regions, pricing, and timing all working together. Without that context, AI produces inconsistent answers, misses key signals, and requires constant oversight.
With Solid:
- AI answers questions using trusted retail metrics and definitions
- Business users can explore data without relying on analysts
- Insights are consistent across AI tools, dashboards, and reporting
Solid becomes the context layer that connects your data to how your business actually runs—so AI can finally be trusted to support real decisions.
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Three Ways Retail Teams Use Solid
What Retail Teams Can Do with Solid
1
Monitor Revenue, Returns, and Margin Pressure
Problem
Retail leaders need a clear view of revenue, discounting, and returns - but these signals are spread across channels, regions, and categories, making them hard to track consistently.
How Solid Helps
Solid enables AI to monitor revenue and returns using trusted retail logic - surfacing where returns are rising, revenue is declining, and discounting is impacting performance without manual analysis.
AI Can Surface:
- Daily Anomalies in Revenue, Returns, and Margin
- Margin Erosion Driven by Discounting, Returns, or Channel Mix
- Automated Root Cause Analysis of Performance Changes
- Gaps Between Forecasted and Actual Performance
- Shifts in Expected Seasonal Revenue Patterns
- Revenue Trends Across Departments, Categories, and Regions
Outcome
Retail leaders get faster visibility into what is driving performance so they can make better decisions about pricing, promotions, returns, and operations.
2
Identify High-Value Customers and Re-Engage At-Risk Segments
Problem
Teams need to identify high-value customers and those at risk - but without reliable segmentation, campaigns miss the mark and opportunities are lost.
How Solid Helps
Solid gives AI the context to analyze customer behavior and lifetime value - identifying key segments, detecting churn risk, and highlighting where to focus retention and upsell efforts.
AI Can Identify:
- At-Risk Segments and Automatically Trigger Re-Engagement Workflows
- High-Value Customers Showing Early Signs of Churn
- Next-Best Actions for Retention, Loyalty, and Upsell
- QBR-Ready Customer Insights Delivered Directly in Slack or CRM
- Segments Most Likely to Respond to Personalized Outreach
- Real-Time Shifts in Customer Behavior and Engagement
Outcome
Marketing teams can focus on the customers who matter most, proactively re-engage at-risk segments, and improve retention and long-term customer value.
3
Optimize Product and Assortment Performance
Problem
Teams need to know which products are driving performance and which aren’t - but shifting trends across regions, channels, and seasons make it hard to act early.
How Solid Helps
Solid enables AI to analyze product performance across regions and channels - highlighting top and underperforming products and flagging trends in returns, discounts, and demand.
AI Can Deliver:
- Automated Inventory Rebalancing to Maximize Full-Price Sales
- Actionable Return Insights with Root Causes from Customer Feedback
- Recommended Actions for Underperforming SKUs by Channel
- Pricing and Assortment Recommendations for Weak Sell-Through Products
- Targeted Pricing or Assortment Adjustments Based on Local Demand
- Early Identification of Emerging Product Issues from Customer Sentiment and Behavior
Outcome
Product and merchandising teams can make smarter decisions about assortment planning, pricing, and inventory management based on a trusted view of performance.
Real Resultsfor Retail Teams
Retail teams need trusted answers, not more dashboards. Solid grounds AI in your business logic for useful production.
85%+
AI Answer Accuracy
Up from ~20–30%
4×
Faster Time to Value
From AI ideas to real business impact
50–70%
Less Data Maintenance
Free up time for high-impact work
Why Solid?
Reliable AI Insights
AI answers questions using SQL grounded in trusted business logic.
Self-Service Data Access
Business users can ask questions without waiting on analysts.
Consistency Across Tools
The same trusted SQL powers AI tools, dashboards, and reporting.