Visit Analysis: Azerbaijan
The app enables real-time geolocation analysis of distributor employees' visits to retail locations and monitors the effectiveness of point-of-sale equipment in Azerbaijan
To what extent does the sales team adhere to the schedule for their visits?
Which sales agents consistently meet or fail to meet their quotas?
In which regions are there delays in visits, sales, or equipment inspections?
What percentage of orders are placed directly at the store, and how many are placed remotely?
Which equipment has been inspected, and where were the malfunctions detected?
How effective is point-of-sale equipment?
Which points show a consistent sales pattern, and which ones are outliers?
Which employees, teams, or departments are performing the best and the worst?
What percentage of visits result in no purchase?
Which retail locations are seeing a decline in sales despite stable foot traffic?
What are the causes of route deviations and how do they affect KPIs?
What are the metrics for repeat visits, and how effective are they?
This preconfigured solution enables you to perform plan-vs-actual analysis of store visits, the number of point-of-sale equipment inspections, sales volume and revenue, as well as geolocation analysis of store visits based on GPS coordinates
They evaluate adherence to the visit schedule and sales volume within the route.
◾ Number of visits: plan, actual, % completion
◾ Date-to-date visits: absolute and relative values
◾ Sales by quantity and amount: plan, actual, % completion
◾ Equipment scanning: plan, actual, % completion
Allow you to analyze KPI performance by region, employee, and location.
◾ KPI performance trends by month, week, and day
◾ Location geotagging, GPS deviations, coverage map
◾ Performance comparison by region, sector, and agent
Evaluate the performance of employees, locations, and product categories.
◾ Top 20 agents and locations by performance/underperformance
◾ Location performance by sales consistency
◾ Sales baskets: breakdown by location and equipment
Track violations, route deviations, and visit effectiveness.
◾ Number of orders in scheduled and unscheduled zones
◾ Orders by location with matching dates and coordinates
◾ Percentage of sales deviating from the plan
They assess the impact of equipment on sales and record malfunctions.
◾ Number of checks and % of malfunctions
◾ Sales by equipment category
◾ Comparison of locations with and without equipment
Full control over field operationsOur BI solution consolidates data on visits, GPS locations, orders, equipment, and inspections. You get a single dashboard for real-time monitoring, accessible via a web browser and mobile devices.
Plan-fact and geoinformatics on a single screenCompare planned vs. actual figures for visits, sales, and inspections. Use interactive maps and GPS reports to identify discrepancies and fictitious visits.
Evaluation of the effectiveness of retail locations and equipmentAnalyze sales patterns, equipment efficiency, reasons for uncompleted visits, and the percentage of unplanned orders — to boost productivity and increase orders.
Full control over field operationsOur BI solution consolidates data on visits, GPS locations, orders, equipment, and inspections. You get a single dashboard for real-time monitoring, accessible via a web browser and mobile devices.
Plan-fact and geoinformatics on a single screenCompare planned vs. actual figures for visits, sales, and inspections. Use interactive maps and GPS reports to identify discrepancies and fictitious visits.
Evaluation of the effectiveness of retail locations and equipmentAnalyze sales patterns, equipment efficiency, reasons for uncompleted visits, and the percentage of unplanned orders — to boost productivity and increase orders.
RBC Group enhances its clients' competitiveness by implementing modern business analytics, data integration and management, artificial intelligence, and advanced analytics systems.
25Аналитика больше не ограничивается дашбордами. Рассмотрим, как Agentic AI объединяет данные, контекст и действия, превращая BI в систему, помогающую принимать решения в режиме реального времени.
28Закупки могут казаться контролируемыми — но именно здесь часто незаметно теряется маржа. В статье мы рассмотрим, как аналитика помогает выявить истинные причины расходов и начать ими управлять.
21Проблема прогнозирования — не в данных, а в управлении. Разбираем, как перейти от разрозненных цифр к единому прогнозу, на котором можно принимать решения.
25Аналитика больше не ограничивается дашбордами. Рассмотрим, как Agentic AI объединяет данные, контекст и действия, превращая BI в систему, помогающую принимать решения в режиме реального времени.
28Закупки могут казаться контролируемыми — но именно здесь часто незаметно теряется маржа. В статье мы рассмотрим, как аналитика помогает выявить истинные причины расходов и начать ими управлять.
21Проблема прогнозирования — не в данных, а в управлении. Разбираем, как перейти от разрозненных цифр к единому прогнозу, на котором можно принимать решения.
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