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Introduction

In today’s hyper-competitive grocery market, missing SKUs or out-of-sync assortments across top platforms like Walmart, Target, and Amazon Fresh can directly lead to lost revenue and poor customer experience.

To address this problem, a leading U.S. CPG (Consumer Packaged Goods) company partnered with Actowiz Solutions to build a real-time assortment gap detection engine, enabling data-driven decisions to optimize listing presence across online platforms.

Client Objective

  • Track the availability of 500+ SKUs across Amazon Fresh, Walmart, and Target.
  • Detect which products were missing from specific platforms or ZIP codes.
  • Identify product duplication and inconsistent variants.
  • Get daily actionable reports for internal sales and platform account teams.

Business Challenges

  • SKU naming and packaging differences across platforms.
  • Region-specific listing gaps undetected by sales teams.
  • Platform APIs didn’t always surface out-of-stock vs. delisted SKUs.
  • Need for high-frequency updates (4x per day).

Actowiz Solutions’ Strategy

The-Client
1. Multi-Platform API & Scraping Setup:
  • Walmart & Target APIs were integrated for real-time inventory queries.
  • Amazon Fresh used headless scraping with region-based simulation.
  • Proxy pools ensured unblocked access to geotargeted product pages.
2. SKU Matching Intelligence:
  • Used NLP + fuzzy logic to align product names, brand, variant, pack size.
  • Created a master SKU sheet to benchmark across platforms.
3. Gap Detection Engine:
  • Mapped SKU availability across 50 U.S. ZIP codes.
  • Color-coded daily dashboard showing:
    • ✅ Present
    • ❌ Missing
    • ⚠️ Out of Stock
4. Alerts & Reporting:
  • Slack/email alerts triggered when top SKUs were missing or had no stock on any major platform.
  • Automated Excel reports with timestamps, category-level analysis, and recommended actions.

Sample Data Snapshot

SKU ID Product Name ZIP Code Walmart Amazon Fresh Target Gap Status
10012 Tropicana Orange 52oz 10001 Missing on Amazon
10345 Lay’s Classic 8oz 60601 ⚠️ Missing on Target
10876 Cheerios 12oz 90210 Complete

Results

The-Client
🔹 93% Coverage Accuracy in SKU Detection
  • Only 7% of SKUs had inconsistencies due to variant mismatch, which were flagged and corrected.
🔹 2,100+ Gaps Detected in 30 Days
  • Across regions and categories, ensuring complete visibility.
🔹 Platform-Specific Trends Identified:
  • Target had the most frequent delistings in the Beverage category.
  • Amazon Fresh had delayed relisting after out-of-stock events.
🔹 25% Faster Restocking Response
  • Sales teams acted quicker using gap alerts to initiate relisting.

Visual Dashboards Delivered

  • Assortment Heat Map (SKU vs. Platform vs. ZIP)
  • Gap Trends Over Time
  • Category-Level Missing SKU Charts
  • Priority Gaps by Revenue Impact

Tech Stack Used

  • Languages: Python, Node.js
  • Frameworks: Flask, FastAPI
  • Data Layer: PostgreSQL + MongoDB
  • APIs: Walmart & Target APIs, Amazon Scraper (Selenium + Puppeteer)
  • Dashboards: Power BI, Looker Studio
  • Deployment: AWS EC2, S3, Lambda

Why Actowiz Solutions?

  • 🚀 Fast Go-To-Market (Live in 14 days)
  • 📈 Expertise in platform-specific inventory monitoring
  • 🔄 Automated daily insights + alert system
  • 🌐 50+ ZIP code geolocation-based gap mapping

Client Feedback

"Our teams used to spend weeks manually detecting listing issues. Now, Actowiz shows us SKU gaps before our customers even notice. Game-changer!"

— U.S. Director of Omni-Channel Operations

Future Roadmap

  • Integrate Kroger and Costco data feeds
  • Add competitor price comparisons into same dashboard
  • Correlate product gaps with revenue impact & reviews

Conclusion

Actowiz Solutions helped this CPG brand close the loop on lost digital shelf visibility by providing a precise, real-time view of assortment gaps across Walmart, Amazon, and Target. As online grocery competition intensifies, automated SKU gap analysis has become a vital weapon for retail success.

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Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

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