Client Overview

The client is a China-based underwear manufacturer that has successfully penetrated the Philippines market, operating multiple online stores across Shopee, Lazada, and TikTok. With an estimated annual revenue of $2 million, the company targets a broad customer base ranging from budget-conscious shoppers to premium buyers.

To manage its multi-platform e-commerce operations, the team currently uses Bigseller, a system designed for the e-commerce industry, which dynamically retrieves order and logistics data, classifies orders into different stages, and provides a dashboard for monitoring performance. However, the system does not fully meet their needs in inventory management, customer service, and marketing strategy, presenting opportunities for optimization.

Current Operational Structure & Tools

Existing Systems & Processes

  • Order & Logistics Management: Bigseller efficiently classifies orders into different statuses, making it easy for the team to track order progress.
  • Inventory Management: Bigseller allows users to scan purchasing invoices for inventory updates. However, the team manually inputs data because their purchasing orders are batched and only cover a limited range of products (primarily underwear).
  • Warehouse Optimization: While Bigseller provides an advanced inventory allocation function to distribute stock across warehouses optimally, the team does not use this feature due to its complexity.
  • Customer Service: The team currently relies on human workers (earning approximately 15,000 PHP per month) to handle fewer than 100 inquiries daily. They are exploring Duoke (多客), which provides smart customer service automation and sentiment analysis for negative feedback.
  • Marketing & Customer Acquisition: Bigseller lacks built-in marketing tools, and the business relies solely on organic traffic from Shopee, Lazada, and TikTok rather than acquiring customers from external sources.
  • ERP Consideration: The team is aware of a more professional ERP system, QianYi ERP (千易), based in Hangzhou, but has not yet adopted it.

Challenges & Limitations

1. Limited Inventory & Warehouse Management Automation

  • Manual inventory data entry slows down stock updates and increases human errors.
  • The team is not utilizing Bigseller’s inventory allocation feature, leading to potential inefficiencies in order fulfillment.

2. Inefficient Customer Service Management

  • Human customer service agents manually handle all inquiries, increasing labor costs and limiting scalability.
  • Lack of automated tracking and response to negative reviews (e.g., bad comments on Shopee and Lazada).

3. No AI-Driven Marketing Optimization

  • The business does not actively drive external traffic beyond e-commerce platforms.
  • No automated ad optimization or AI-driven insights to improve conversions.

4. Basic Business Intelligence & Decision-Making

  • Limited insights into profitability at the product level.
  • No predictive AI for inventory needs, seasonal demand, or pricing strategies.
  • Manual analysis of performance reports is time-consuming.

How Cognaptus AI Creates Value

Cognaptus AI integrates seamlessly with Bigseller and enhances the business’s ability to scale efficiently through AI-powered inventory management, customer service automation, marketing intelligence, and financial optimization.

1. AI-Powered Inventory Management & Forecasting

   Scenario Efficiency
1 Before AI       1.00
2  After AI       1.15

Solution: Cognaptus AI integrates with Bigseller to automate inventory updates, reducing manual data entry errors and improving efficiency.

  • Automated Inventory Sync: AI extracts invoice data from scanned documents and auto-updates stock levels.
  • Dynamic Inventory Forecasting: AI predicts demand based on historical sales trends, avoiding overstocking or stockouts.
  • Smart Warehouse Allocation: AI suggests optimal stock distribution across different locations based on order patterns.

2. Decentralized AI Learning for E-Commerce Optimization

   Scenario Workload
1 Before AI      1.0
2  After AI      0.5

Solution: Unlike traditional SaaS, Cognaptus AI enables businesses to train AI models locally based on their own data, leading to personalized and highly efficient automation.

  • Adaptive Customer Service AI: AI chatbot learns from business-specific inquiries, reducing reliance on human agents.
  • Localized Market Intelligence: AI dynamically adjusts inventory and marketing strategies based on each business’s sales trends, not a generic dataset.
  • Privacy-Preserving AI: Business data remains local, ensuring data security while continuously improving AI performance.

3. AI-Driven Marketing Optimization

Solution: Cognaptus AI introduces smart marketing tools to optimize e-commerce performance.

  • Keyword & Ranking Analysis: AI identifies the best keywords for Shopee, Lazada, and TikTok to improve organic visibility.
  • Ad Performance Optimization: AI analyzes ad data and reallocates budgets for higher ROI.
  • Multi-Platform Content Personalization: AI generates targeted ad copies and promotions tailored to different platforms.

4. AI-Powered Business Intelligence & Profitability Insights

Solution: Cognaptus AI enhances financial decision-making with predictive analytics.

  • Product-Level Profitability Analysis: AI identifies top-performing SKUs and their real profit margins.
  • Seasonal Sales Forecasting: AI predicts demand fluctuations and recommends pricing strategies.
  • Cash Flow Optimization: AI forecasts liquidity needs, helping the business prepare for peak seasons.

Cognaptus as the Next-Generation AI SaaS for E-Commerce

Given that ERP solutions like Bigseller and QianYi ERP are well-established, Cognaptus AI should position itself as a next-generation AI-powered automation SaaS focusing on:

  • Decentralized AI learning for personalized automation
  • AI-driven marketing optimization
  • Smarter, AI-enhanced customer service solutions
  • More sophisticated inventory and logistics management

Conclusion: Why Cognaptus AI?

With Cognaptus AI, businesses can transition from merely managing operations to making AI-powered, data-driven strategic decisions, ensuring higher profitability, better scalability, and sustainable competitive advantages in the cross-border e-commerce industry.

                          Metric Impact
1 Operational Workload Reduction    30%
2                   Sales Growth 20-30%
3         Profit Margin Increase 10-20%