Optimising Lazada Seller Centre with AI Analytics
Discover how AI-powered analytics tools can help you optimise your Lazada seller performance and increase your shop reputation score.

Use Lazada's built-in analytics alongside AI tools to cross-validate insights before making major decisions.
Focus on response time first, as Lazada's algorithm heavily weights seller responsiveness in ranking calculations.
Analyse your top 10 competitors quarterly to identify emerging strategies and market positioning shifts.
Create product bundles based on AI recommendations for frequently purchased product combinations.
Implement a regular review response schedule using AI-suggested templates tailored to different feedback types.
Why This Matters
How to Do It
Analysing Lazada Sales Performance Data
AI-Driven Pricing Optimisation
Identifying Fast-Moving Products
Customer Review Analysis and Response
Shop Reputation Optimisation Strategies
Prompts to Try
Sales Performance Analysis Prompt
Analyse my Lazada sales data for the last 90 days: [SALES DATA]. Identify: top 5 products by revenue, products with declining sales, seasonal patterns, and customer acquisition costs by product. Recommend 3 pricing adjustments and 2 inventory strategy changes.
Review Analysis Template
Process these customer reviews for [PRODUCT]: [REVIEWS]. Categorise feedback into: positive themes, common complaints, feature requests, and comparison to competitors. Suggest 5 improvements and 3 marketing messages based on customer feedback.
Competitor Benchmarking Prompt
Compare my Lazada shop metrics [MY METRICS] with competitor shops [COMPETITOR DATA] in the [CATEGORY] category. Identify performance gaps and suggest actionable improvements for: response time, pricing, shipping speed, and review ratings.
Common Mistakes
Not following best practices
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