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Overview
This use case demonstrates how a mid-sized distribution company used IdeaBoxAI’s Agentic BI to unify fragmented supply chain and sales data, enabling real-time visibility into inventory levels, order fulfillment rates, and regional sales performance — ultimately reducing stockouts by 34% and improving forecast accuracy.Background
Metro Distribution Partners, a regional wholesale distributor serving over 450 retail locations across the Midwest, faced a common but costly challenge: their supply chain and sales teams operated in silos, each relying on separate spreadsheets and static monthly reports. Inventory planners worked from Excel exports pulled weekly from their ERP system, while the sales team tracked orders and customer trends in a separate CRM database. This fragmentation led to frequent miscommunication. Sales would promise delivery timelines based on outdated inventory data, while supply chain teams would overstock slow-moving SKUs and understock high-demand products because they lacked visibility into real-time sales velocity and regional trends.The challenge
Metro Distribution Partners struggled with three core issues:- Data fragmentation — Inventory data lived in their ERP system, sales orders in the CRM, and logistics metrics in a third-party warehouse management platform. No single dashboard provided a unified view.
- Manual reporting bottleneck — The operations manager spent 8–10 hours each week manually consolidating CSV exports, building pivot tables, and emailing static PDF reports to regional managers. By the time the reports were distributed, the data was already outdated.
- Reactive decision-making — Without real-time alerts, the team only discovered stockouts or fulfillment delays during weekly review meetings — too late to prevent customer impact or lost revenue.
The solution
Metro Distribution Partners implemented IdeaBoxAI’s Agentic BI to connect their ERP database (PostgreSQL), CRM system (MySQL), and warehouse logistics data (CSV exports) into a single, AI-generated dashboard ecosystem.Implementation approach
Connected data sources via Knowledge Bases
The team created two Knowledge Bases in IdeaBoxAI: one connected to their ERP database (PostgreSQL) containing SKU-level inventory, restocking schedules, and supplier lead times; and another connected to their CRM database (MySQL) with sales orders, customer accounts, and regional sales rep assignments. Weekly logistics reports (CSV) were uploaded directly to Agentic BI for trend analysis.
Generated unified dashboards
Using Agentic BI’s auto-generation mode, the operations manager created three core dashboards:
- Inventory Health Dashboard — Real-time stock levels, reorder alerts, and days-of-supply metrics by SKU and warehouse location.
- Sales Performance Dashboard — Revenue by region, top-performing SKUs, order fulfillment rates, and sales velocity trends.
- Supply Chain Overview — Order cycle time, supplier lead time variances, and stockout frequency by product category.
Configured interactive drill-downs
Each dashboard included drill-through interactions. For example, sales managers could click on a regional revenue card and instantly drill through to see individual sales reps, then further drill down to view SKU-level order details. Supply chain planners could roll up SKU-level inventory into category-level summaries or drill down to warehouse-specific stock levels.
Set automated alerts
The team configured email alerts for critical thresholds:
- Notify inventory planners when any SKU drops below 7 days of supply.
- Alert the operations manager when order fulfillment rate falls below 92%.
- Notify regional sales managers when a top-10 SKU goes out of stock in their territory.
Key configurations
Metro Distribution Partners took advantage of several Agentic BI features to tailor the dashboards to their workflow:- AI Assistant for chart refinement — Instead of manually reconfiguring charts, the operations manager used plain English commands like “Show me inventory by supplier and highlight SKUs with lead times over 14 days” or “Add a stacked bar chart of weekly order volume by region.”
- Canvas grouping — Dashboards were organized into collapsible sections: KPIs (top-line metrics), Inventory Analysis (stock levels and reorder status), Sales Trends (revenue and velocity), and Logistics Performance (fulfillment and lead times).
- Dashboard filters — Regional managers could filter the entire dashboard by their assigned territory, product category, or date range — enabling each stakeholder to view only the data relevant to their role.
- Embedded dashboards — The Supply Chain Overview dashboard was embedded into the company’s internal operations portal using an iframe, giving warehouse staff instant access without needing to log into IdeaBoxAI separately.
Results
Within 90 days of deploying Agentic BI, Metro Distribution Partners achieved measurable operational improvements:| Metric | Before | After | Improvement |
|---|---|---|---|
| Stockout incidents per month | 47 | 31 | -34% |
| Order fulfillment rate | 89% | 96% | +7 pts |
| Forecast accuracy | 72% | 89% | +17 pts |
| Time spent on manual reporting | 8–10 hrs/week | 30 min/week | -92% |
| Average response time to stockout alerts | 3.5 days | 4 hours | -96% |
Qualitative outcomes
Beyond the quantitative metrics, the team reported several qualitative benefits:- Cross-functional alignment — Sales and supply chain teams now worked from the same real-time dashboards during weekly planning meetings, eliminating discrepancies and finger-pointing.
- Faster decision cycles — Regional managers could answer critical questions like “Which SKUs are trending up this month?” or “Do we have enough inventory to support the Q4 promotion?” in seconds, not days.
- Proactive inventory management — Automated alerts enabled the inventory planning team to reorder stock before stockouts occurred, rather than reacting to customer complaints after the fact.
Key takeaways
This use case highlights three core capabilities of Agentic BI that are especially valuable in supply chain and sales contexts:- Unified data view — By connecting multiple data sources (ERP, CRM, logistics CSVs) through Knowledge Bases, Metro Distribution Partners eliminated data silos and gained a single source of truth.
- AI-accelerated dashboard creation — Auto-generation mode reduced the time to build a functional dashboard from weeks (for traditional BI tools) to under 10 minutes, allowing the team to iterate quickly and test different views.
- Proactive alerting — Real-time threshold alerts transformed the team from reactive firefighters into proactive planners, enabling them to prevent issues before they impacted customers or revenue.
Related resources
Getting Started with Agentic BI
Learn how to connect your data sources and generate your first dashboard.
Setting Alerts
Configure automated email notifications for critical metric thresholds.
Dashboard Filters
Enable stakeholders to filter dashboards by region, category, or date range.
Build Your First Dashboard
Step-by-step tutorial for creating a sales dashboard from your data.