Conversational Data Analytics

Conversational Data Analytics

"How much did this month's sales increase compared to last month?"
"Which products are most popular among female customers aged 25-35?"
"If I adjust the pricing strategy, how much will sales be impacted?"

In the past, answering these key business questions required data analysts spending 2-3 days creating complex reports, and even then, the boss would often remain confused, missing the best decision-making opportunity.

Say Goodbye to Excel Hell and Embrace Conversational Data Insights

BSurprise Company Limited's AI Talk to Your Data has completely transformed the way businesses interact with data. Now, you can simply ask questions like you're chatting with a friend, and AI will provide accurate data insights and business recommendations in just 30 seconds.

Natural Language Queries – Say Goodbye to Technical Barriers

❓ "Which product was the most profitable last quarter?"
❓ "Where do most of my customers come from?"
❓ "When is our peak sales season?"
❓ "Which customers are at risk of churning?"

No need to learn SQL, understand database structures, or undergo complex BI tool training. You can ask questions in the most natural way:

Real-Time Visualization – Insights at a Glance

AI not only provides numerical answers but also automatically generates visual representations for easy understanding.

Trend Charts

Clearly visualize sales trends, customer growth, and inventory changes.

Comparative Analysis

Compare performance across different products, regions, and time periods.

Predictive Modeling

Forecast trends for the next 3–6 months based on historical data.

Anomaly Alerts

Automatically detect data anomalies and alert you to potential issues.

Integrate All Your Existing Data Sources

Sales Systems (POS, E-commerce Platforms)

Customer Relationship Management (CRM)

After implementing our system, a custom jewelry business identified the purchasing patterns of high-value customers and launched personalized marketing two weeks in advance. As a result, conversion rates increased by 120%, and the average order value rose by 45%.

Real-World Results

Three Core Scenarios, Covering the Entire Decision-Making Process for Enterprises

Scenario 1: Sales Performance Analysis

User Inquiry: "Why did sales decline this month?"

AI Analysis Response:
"Sales this month have decreased by 15% compared to last month. The main reasons are:

1. Insufficient inventory of Product A, leading to a 30% drop in sales.

2. Reduced advertising spend, resulting in a 25% decline in new customer acquisition.

3. Seasonal factors, as historical data shows a 10-15% decline during this period every year.
   Recommendation: Immediately replenish Product A inventory and restore advertising spend to last month's levels."

Scenario 2: Customer Behavior Insights

User Inquiry: "Which customers are the most valuable?"

AI Analysis Response:
"68 high-value customers have been identified (3% of total customers but contributing 42% of revenue).
Characteristics: Average age 45, 70% are female, repurchase cycle is 30 days, and they prefer high-end products.
Recommendation: Design a VIP membership program for this group, which is expected to increase revenue by 20%."

Scenario 3: Inventory Optimization Decision

User Inquiry: "How much inventory should we order for next month?"

AI Analysis Response:
"Based on historical sales data and seasonal trends:

• Product A demand is expected to increase by 25%, recommend ordering 500 units.

• Product B demand remains stable, maintain current inventory.

• Product C is entering the off-season, recommend reducing inventory by 30%.
  Total budget recommendation: HK$850,000."

Start Your Conversational Data Analysis Experience

No need to learn SQL, understand database structures, or undergo complex BI tool training.