KB Article #8730
Below are six concise boss-facing KBA entries. Each item is verified against the ingested portal screenshots and tables: Suppliers, PO Details, Part Pricing, Part Group, Tire Analytics, and Active Users.
1. Supplier Spend Insights
Challenge:
Lack of clarity on supplier spend concentration.
How the Data Helps:
Shows GMV, quantity, and brand breakdown by supplier.
How to Use It:
Review supplier totals and trends to spot consolidation or negotiation targets.
Outcome:
Reduced supplier overlap and improved purchasing leverage.
2. PO Profit Tracking
Challenge:
High-value orders are hard to monitor centrally.
How the Data Helps:
Exposes PO-level GMV, pay dates, parts, and line-item pricing.
How to Use It:
Drill into POs by shop, date, part group, or supplier to validate spend.
Outcome:
Better oversight of high-impact transactions and quicker issue resolution.
3. Smart Part Pricing
Challenge:
Pricing inconsistency across shops and suppliers.
How the Data Helps:
Enables price comparison by part, brand, shop, and supplier.
How to Use It:
Identify price outliers and align pricing across the network.
Outcome:
Tighter margins and fewer pricing discrepancies.
4. Shop Performance Metrics
Challenge:
Unclear which shops drive most volume or need support.
How the Data Helps:
Provides shop-level GMV, PO counts, and category mix.
How to Use It:
Rank shops by volume and GMV to prioritize support or growth actions.
Outcome:
Targeted operational interventions and improved shop performance.
5. Tire Price Optimization
Challenge:
Variability in tire costs and purchasing behavior.
How the Data Helps:
Shows tire price ranges, volume by brand, and cross-shop patterns.
How to Use It:
Compare average prices and volumes to identify savings opportunities.
Outcome:
Lower tire spend and more consistent procurement.
6. User Activity Visibility
Challenge:
No clear view into portal adoption and user behavior.
How the Data Helps:
Tracks logins, order activity, and user-level trends.
How to Use It:
Identify inactive users or training gaps and target engagement efforts.
Outcome:
Higher adoption and more reliable data input.