Retail SCRM: 32,000 Stores Smart Sales Assistant Improved Efficiency by 38%

"The essence of retail is having the right product, at the right time, in front of the right customer."

Retail SCRM chose AskTable to introduce AI data querying into stores, enabling front-line sales assistants to instantly obtain product selection data and view sales in real-time, greatly improving sales efficiency. Covering 32,000 stores, opening a new stage of digital empowerment.

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Customer Background

Retail SCRM is a large domestic retail chain enterprise with nationwide operations, over 32,000 stores, and tens of thousands of employees.

Store Operations Pain Points:

• •Data Lag: Store sales data can only be seen the next day, business decisions always "half a beat behind"
• •Information Disconnect: Headquarters activities, inventory changes and other information are not delivered in time, sales assistants often "know nothing"
• •Low Efficiency: Sales assistants need to frequently contact supervisors or headquarters for data, time consumed in large quantities
• •Difficult Training: High training costs for new products, product knowledge, difficult to ensure effectiveness

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Solution

AskTable created a store "Smart Sales Assistant" for Pinfu Retail:

1. Large-Scale Deployment

• •Helped 32,000 stores improve user experience
• •Opened a new stage of digital empowerment
• •From headquarters to stores, seamless data transmission

2. Efficiency Improvement

• •Standardized API integration, barely consuming development resources
• •38% efficiency improvement, letting sales assistants focus more on sales itself
• •Natural language interaction, no complex training needed

3. Performance Improvement

• •Sales assistants can obtain product selection data anytime
• •Precise recommendations, improve order completion rate
• •Real-time inventory status understanding, avoid stockout losses

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Core Application Scenarios

Store Sales Data Real-Time Query

Sales Assistant: How much did our store sell today?
AI: Store's today's sales are 128,000 yuan, up 15% from yesterday

Instant Inventory Status

Sales Assistant: Is there stock for this product?
AI: This SKU has 23 pieces in store, 150 pieces available in warehouse

Promotion Effect Tracking

Sales Assistant: How effective was this discount activity?
AI: Activity drove sales increase by 35%, average order value increased by 22%

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Technical Architecture

Headquarters Data Center
      ↓
   AskTable Middle Platform
      ↓
   Standard API
      ↓
   Store Terminals (Mobile/POS/Self-Service Kiosk)
      ↓
   Sales Assistant Natural Language Interaction

• •Private Deployment: Data secure, stores use with confidence
• •Unified Data Standards: Consistent headquarters and store data
• •Millisecond-Level Response: Real-time queries, no waiting

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Implementation Results

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Customer Testimonial

"Previously, when a customer asked if we had a certain product, I had to call the warehouse to confirm, which took a long time. Now I just ask AI and know in 3 seconds. Customers think we're professional, and the transaction rate has also improved."

— A Store Sales Assistant at Retail SCRM

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Promotion Value

Pinfu Retail's practice proves the huge value of AI data assistants in the retail chain industry:

• •Scalable Replication: 32,000 stores validated, can quickly promote to more stores
• •Standardized Integration: API architecture, new stores can connect with one click
• •Continuous Iteration: Based on store feedback, continuously optimize AI capabilities

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Industry Significance

The core competitiveness of the retail chain industry lies in "standardization" and "execution". AskTable enables the headquarters' brain to quickly and accurately transmit information to every store and every sales assistant, truly achieving a closed loop of "headquarters decisions, store execution, real-time feedback."

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Learn More:

• •AskTable Retail Industry Solution
• •Schedule Enterprise Consultation
• •View More Customer Cases