Aseto
Ready Solutions / Sales Analytics

RetailIntel Sales Analytics and Command Center

RetailIntel combines sales analytics, stock risk, store performance, Excel data intake, live team messages, and channel integrations in one management panel. Its goal is to help leadership make data-based decisions and help the sales team see priorities on time.

Service scope
Sales performance and comparison
Stock risk and stockout signal
Data Excel, CSV, and API intake
Team message and operator workflow
Screenshots

A clear view of the sales process through RetailIntel screens

These slides present the command center, sales performance, stock risk, data intake, Excel import, live messages, agent management, and channel integrations as a continuous workflow.

RetailIntel UI

Analytics and team screens

01 / 12
Command Center - Sales analytics software
Sales Analytics

Command Center

A primary control desk showing sales, stock, priorities, management oversight, and workspace status in one panel.

Sales Performance - Sales analytics software
Sales Analytics

Sales Performance

Sales results by store, product, and category, with slow-moving SKUs and performance signals.

Stock Health and Stockout Risk - Sales analytics software
Sales Analytics

Stock Health and Stockout Risk

Stock risks, stockout probability, slow-moving products, and warehouse holding risks.

Data Intake Center - Sales analytics software
Sales Analytics

Data Intake Center

Importing sales, stock, and store data from Excel, CSV, and other sources into the system.

Heavy-range data set - Sales analytics software
Sales Analytics

Heavy-range data set

Step-by-step data intake, validation, cleaning, and preparation for sales analytics.

Excel Intake and Source Connections - Sales analytics software
Sales Analytics

Excel Intake and Source Connections

File upload, source selection, store connections, and standardization of sales data.

Live Messages - Sales analytics software
Sales Analytics

Live Messages

Internal team messaging, operational notes, observations, and daily work tasks.

Productivity Session - Sales analytics software
Sales Analytics

Productivity Session

Team sessions, user settings, focus mode, and productivity workflows.

Tenant Usage and Metrics - Sales analytics software
Sales Analytics

Tenant Usage and Metrics

Workspace usage, daily context, tenant-level metrics, and management rules.

Agent Management Center - Sales analytics software
Sales Analytics

Agent Management Center

Tracking operator intake, notifications, connection level, and team response processes.

Operator Queue and Notifications - Sales analytics software
Sales Analytics

Operator Queue and Notifications

Operator queues, priority messages, alerts, and live signals for the sales team.

Channel Integrations - Sales analytics software
Sales Analytics

Channel Integrations

Messaging connections with Facebook Messenger, Instagram DM, Telegram Bot, and other channels.

Application Logic

A complete sales analytics flow from data to decision

The core logic is simple: sales and stock data is collected, cleaned, compared, and converted into tasks for the team. Leadership therefore sees not only reports, but actionable operational decisions.

Workflow

It turns retail data into a managed workflow

The system combines daily sales files, warehouse balances, and channel messages. As a result, weak sales points, stock risks, operator queues, and priorities become visible in the same command center.

01

Data is collected

Sales, stock, store, product, and channel data is received from Excel, CSV, API, POS, or ERP sources.

02

Data is standardized

Columns are mapped, invalid values are cleaned, and store and product codes are moved into one analytics model.

03

Analytics runs

Sales performance, stock health, slow-moving products, stockout risk, and team priorities are calculated.

04

The team takes action

The system creates alerts, messages, tasks, and reporting flows for leadership and operators.

Functionality

One base for the sales team, stock control, and leadership

Every function is designed to make sales results clearer, catch stock risks earlier, and give the team the right tasks on time.

Sales Performance Analysis

Compares sales results by store, branch, product, category, and period, showing growth and decline points.

Stock and Stockout Risk

Detects slow-selling products, SKUs at risk of stockout, excess stock accumulation, and critical stock levels.

Data Intake and Cleaning

Accepts Excel, CSV, POS, ERP, and warehouse files, then prepares them for analytics with column mapping and validation.

Command Center

It creates priority tasks, live messages, and daily decision signals for the sales team, operators, and leadership.

Channel and Message Integrations

Can be expanded with integrations for Instagram, Facebook, Telegram, WhatsApp, CRM, and internal notification channels.

Leadership Dashboard

Shows KPI, store performance, stock risk, sales dynamics, and team activity in one leadership dashboard.

Expansion and additional features

It can be adapted to any sales model and additional module

RetailIntel is delivered as a ready base, but it is not a fixed product. New dashboards, AI forecasts, POS/ERP integrations, messaging workflows, bonus calculations, and management reports can be added according to your sales process.

  • API or file-based integration with POS, 1C, Mikro, Logo, ERP, warehouse, and e-commerce systems
  • AI-based sales forecasting, stockout probability, anomaly detection, and automatic prioritization
  • Separate dashboards by store, branch, region, category, product group, and sales representative
  • Notification and team response flows through WhatsApp, Telegram, Instagram, Facebook, email, and SMS
  • Excel/PDF exports, plan-actual comparison, bonus calculation, and daily leadership reports
  • Role-based access, audit log, tenant structure, backup, and additional security rules
  • Option to remodel it as an analytics and command center for a completely different industry
Suitable industries

Optimized for any business with sales data

The system can be adapted for retail, distribution, pharmacy, market, e-commerce, and branch-based business models. The key requirement is correctly modeling the data flow.

Market and supermarket chains

Sales, stock, channel, team, and leadership reports can be configured separately for this model.

Distribution and wholesale sales teams

Sales, stock, channel, team, and leadership reports can be configured separately for this model.

Pharmacy, cosmetics, and FMCG sales points

Sales, stock, channel, team, and leadership reports can be configured separately for this model.

E-commerce and omnichannel sales teams

Sales, stock, channel, team, and leadership reports can be configured separately for this model.

Branch-based retail businesses

Sales, stock, channel, team, and leadership reports can be configured separately for this model.

Sales manager and leadership dashboards

Sales, stock, channel, team, and leadership reports can be configured separately for this model.