Spreadsheet Dashboard POS HR

Analyze POS sales and sales staff performance with custom dashboards

POS Analysis
Staff Performance
Commission Tracking
Sales Productivity
POS Dashboard
Pivot Tables
Custom Charts
Excel Export

Spreadsheet Dashboard POS HR Overview

Spreadsheet Dashboard POS HR is a powerful analysis tool in Odoo, combining data from Point of Sale and HR to create detailed sales and staff performance reports. This module allows you to track sales performance, analyze productivity, calculate commissions, manage shifts, and optimize retail operations.

Key points

  • Integrate data from POS, HR, and Attendance in one dashboard

  • Track sales by employee, shift, and time period

  • Analyze sales per hour and transactions per employee

  • Automatically calculate commissions and incentives

  • Evaluate customer service metrics (transaction time, items per sale)

  • Compare performance between employees and shifts

  • Track attendance and correlate with sales performance

  • Export data to Excel for advanced analysis


Terminology Reference

Key terminology in Spreadsheet Dashboard POS HR:

Table

Tiếng ViệtEnglishMô tả
Điểm bán hàngPoint of Sale (POS)Hệ thống bán hàng tại cửa hàng
Ca làm việcShiftKhoảng thời gian làm việc của nhân viên
SessionPOS SessionPhiên làm việc trên POS
Doanh sốSalesTổng giá trị bán hàng
Giao dịchTransactionMột lần thanh toán hoàn chỉnh
CommissionCommissionHoa hồng bán hàng
Sales per HourSales per HourDoanh số trên giờ làm việc
Average TransactionAverage Transaction ValueGiá trị giao dịch trung bình
Items per SaleItems per SaleSố sản phẩm trung bình mỗi giao dịch
Conversion RateConversion RateTỷ lệ chuyển đổi khách thành giao dịch
ProductivityProductivityNăng suất bán hàng
AttendanceAttendanceChấm công, giờ làm việc
CashierCashierNhân viên thu ngân
UpsellUpsellBán thêm sản phẩm có giá trị cao hơn

Creating POS HR Dashboard

Process to create POS and HR analysis dashboard in Odoo:

Steps

  • 1. Access Spreadsheet > Dashboards or Point of Sale > Reporting

  • 2. Click "Create" to create new dashboard

  • 3. Select "POS Sales Analysis" template or start from blank

  • 4. Add pivot table with data source from pos.order and hr.employee

  • 5. Configure rows: Employee, Shift, Date

  • 6. Configure columns: Product Category, Payment Method

  • 7. Select measures: Sales Amount, Transaction Count, Items Sold

  • 8. Add filters: Date range, Employee, POS Location, Shift

  • 9. Create charts: Bar chart for employee comparison, Line chart for trends

  • 10. Add formulas to calculate sales per hour, average transaction, commission

  • 11. Format dashboard with conditional formatting for targets

  • 12. Save and share dashboard with store managers and HR


Sales Performance Analysis

Analyze sales performance of each employee:

Table

MetricCông thứcBenchmark
Total Sales=SUM(sales_amount)Theo target
Transaction Count=COUNT(transactions)Theo shift length
Average Transaction=Total Sales / Transaction Count$30-50
Items per Sale=Total Items / Transaction Count2-4 items
Sales per Hour=Total Sales / Hours Worked$100-200/hour
Conversion Rate=Transactions / Customer Count30-50%

Commission Calculation

Calculate commissions and incentives for sales staff:

Key points

  • Flat commission: Fixed percentage on total sales

  • Tiered commission: Increasing rate by sales brackets

  • Product-based commission: Different commission by product

  • Target-based bonus: Bonus when meeting or exceeding target

  • Upsell incentives: Bonus for selling additional products

  • Team-based commission: Share commission with team

  • Deductions: Deduct for returns, discounts, errors

  • Automated calculation: Auto-calculate commission by rules


Shift Analysis

Analyze performance by work shift:

Key points

  • Compare sales between morning, afternoon, evening shifts

  • Identify peak hours and slow periods

  • Analyze staffing levels vs customer traffic

  • Calculate optimal staff allocation for each shift

  • Track employee preferences and availability

  • Monitor overtime and labor costs

  • Evaluate shift handover efficiency

  • Correlate shift performance with external factors (weather, events)


Productivity Metrics

Evaluate sales staff productivity:

Table

MetricCách tínhÝ nghĩa
Transactions per HourTransaction Count / Hours WorkedTốc độ xử lý giao dịch
Average Transaction TimeTotal Time / Transaction CountHiệu quả phục vụ
Sales per Square FootSales / Store AreaHiệu quả sử dụng không gian
Labor Cost %Labor Cost / Sales * 100Tỷ lệ chi phí nhân công
Sales per EmployeeTotal Sales / Employee CountNăng suất trung bình

Attendance Correlation

Analyze correlation between attendance and sales performance:

Key points

  • Track punctuality and impact on shift performance

  • Analyze absenteeism patterns and sales impact

  • Correlate overtime with productivity levels

  • Monitor break times and efficiency

  • Evaluate schedule adherence

  • Identify attendance issues affecting sales

  • Compare performance: full-time vs part-time staff

  • Analyze fatigue impact on late shifts


Product Performance by Employee

Analyze product sales by employee:

Key points

  • Identify top-selling products for each employee

  • Analyze product mix and diversity

  • Track upsell and cross-sell success rates

  • Compare product knowledge between employees

  • Identify training needs based on product performance

  • Monitor promotion effectiveness by employee

  • Analyze return rates by employee and product

  • Evaluate product recommendation accuracy


Customer Service Metrics

Evaluate customer service quality:

Key points

  • Average transaction time: Average service time

  • Queue wait time: Customer wait time

  • Customer satisfaction scores: Satisfaction ratings

  • Return and refund rates: Return rates

  • Complaint resolution: Complaint handling

  • Repeat customer rate: Customer return rate

  • Mystery shopper scores: Secret shopper ratings

  • Online review ratings: Online review scores


Best Practices

Tips and strategies to optimize POS HR dashboard:

Key points

  • Set realistic targets based on historical data and seasonality

  • Use gamification to motivate employees (leaderboards, badges)

  • Regular performance reviews with data-driven insights

  • Identify top performers and document best practices

  • Provide targeted training based on performance gaps

  • Monitor real-time dashboard to adjust staffing on-the-fly

  • Correlate sales data with marketing campaigns

  • Track employee development over time

  • Use predictive analytics to forecast staffing needs

  • Celebrate wins and recognize high performers publicly