Optimizing Inventory & Delivery with Data Scraping

Real-Time Regional Insights with Customizable E-commerce Dashboards

Client Overview

Client Name: Confidential (U.S.-based mid-sized omnichannel retailer)
Industry: Retail – Electronics & Home Goods
Location: Operations across Illinois, Indiana, and Michigan
Channels: Online store, Amazon Seller Central, Walmart Marketplace, 6 physical stores
Duration: 6 months (2024 Q3–Q4)
Data Partner: Actowiz Solutions

Business Challenge

The client faced three major operational bottlenecks:

1. Inventory sync issues between their online platforms (Amazon, Walmart, internal eCommerce) and physical stores.

2. Unpredictable delivery times leading to low customer satisfaction and frequent returns.

3. Inefficient warehouse utilization, with either overstock or unfulfilled demand in key cities like Chicago and Indianapolis.

They needed a real-time, automated solution to monitor inventory levels and delivery performance across Amazon Fulfillment Centers and Walmart store networks.

Actowiz Solutions Approach

Actowiz Solutions deployed an integrated data scraping system to collect and process:

SKU-level inventory data from Amazon.com (FBA) and Walmart.com

ZIP-code-based delivery time estimates

Warehouse restock timelines

Localized stock availability in nearby cities

This data was synced via a custom dashboard and API into the client’s ERP and warehouse management systems for automated decision-making.

Step 1: Inventory Sync with Amazon & Walmart

We built custom SKU-matching crawlers to extract the following data from Amazon and Walmart daily:

Platform	SKU	Stock Status	Fulfilled By	Price (USD)	ETA (ZIP 60601)
Amazon	ELEC-BX101	In Stock	Amazon FBA	49.99	1 Day
Walmart	ELEC-BX101	Low in Store	Walmart DC	47.99	2 Days
Amazon	HOM-DT230	Out of Stock	Merchant	N/A	N/A

This real-time feed allowed the client to:

Instantly reflect stock-outs or low inventory on their own site.
Auto-deactivate products if Walmart or Amazon ran out.
Sync availability across Shopify, Amazon Seller Central, and internal POS systems.

Result:

Order cancellations dropped by 18%, and cart abandonment due to “out of stock” errors reduced by 23% in 60 days.

Step 2: Delivery Time Optimization

By scraping estimated delivery times from Amazon.com and Walmart.com for over 500 ZIP codes in Illinois, Indiana, and Michigan, Actowiz Solutions created a delivery-time intelligence dashboard.

Sample Delivery Time Dataset:

Platform	SKU	ZIP Code	Delivery ETA	Fulfillment Center	Prime Eligible
Amazon	HOM-DT230	60601	2 Days	Joliet, IL	Yes
Walmart	HOM-DT230	60601	3 Days	Store #456 – Cicero	No

Insights uncovered:

Amazon’s Joliet, IL FBA warehouse delivered 30% faster than client’s in-house fulfillment.
Walmart stores showed delayed dispatch on weekends.

Using this data, the client:

Redirected high-demand SKUs to Amazon FBA to meet Prime delivery expectations.
Scheduled same-day dispatch for ZIPs with historically delayed Walmart deliveries.
Re-routed orders to alternative fulfillment centers during peak traffic or storms.

Result:

Average delivery time reduced from 3.5 days to 1.9 days, and delivery SLA compliance improved by 34%.

Step 3: Warehouse Planning Using Stock Trends

Actowiz Solutions implemented stock frequency analysis using scraped historical inventory data for 6 months.

Insights Derived:

SKU ELEC-BX101 ran out at Walmart every Saturday evening, indicating high weekend demand.
Amazon restocked SKU HOM-DT230 every Tuesday, enabling predictive planning for Tuesday-Wednesday shipping.
70% of customer complaints came from ZIPs that lacked localized inventory.

Warehouse Allocation Dashboard View:

SKU	Location	Avg Weekly Demand	Overstock %	Suggested Action
ELEC-BX101	Chicago IL	1,200 units	5%	Keep steady replenishment
HOM-DT230	Peoria IL	300 units	42%	Divert stock to Chicago
ACC-CBL999	Joliet IL	50 units	3%	Move to clearance stock

Based on these insights, the client revised their warehouse plans:

Consolidated underperforming SKUs in 2 of 6 warehouses.
Increased forward stocking for high-turnover SKUs in Joliet and Naperville.
Automated replenishment triggers based on competitor restock cycles.

Result:

Warehouse storage costs dropped by 21%, and order fulfillment rates improved by 26%.

Key Features Delivered by Actowiz Solutions

Feature	Description
Amazon & Walmart Scraper	Near real-time scraping with SKU/ZIP targeting
Historical Price & Stock Trends	90-day view for restock pattern detection
Fulfillment Heatmap	Visualization of Amazon/Walmart delivery speeds per ZIP
ERP/API Integration	Seamless feed into internal inventory & WMS systems
Anomaly Detection Alerts	Notifications for unusual price/stock behavior

Tech Stack Used

Python + Scrapy for scalable crawling
Rotating proxies + CAPTCHA bypassing
PostgreSQL for structured inventory and trend data
Power BI / Tableau connectors for data visualization
Custom REST API for ERP integration

Client Feedback

“Actowiz Solutions transformed our operations. Their scraping engine made our data actionable—we now make restocking decisions in real-time, not weeks later. From delivery SLAs to shelf planning, we’re running smarter than ever”

— Director of Operations, Midwest Retailer

Business Impact Summary

Metric	Before	After (6 Months)
Avg Delivery Time	3.5 days	1.9 days
Inventory Stockouts	12.4%	6.1%
Order SLA Compliance	61%	95%
Warehouse Utilization Efficiency	64%	87%
Cart Abandonment (Stock Issue)	18.7%	5.2%

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Conclusion

With Actowiz Solution's web scraping and data intelligence tools, the client gained a synchronized inventory, predictive delivery insights, and optimized warehouse workflows across three major U.S. states.

This case proves how data scraping, when implemented strategically, bridges the operational gap between digital platforms and physical logistics—leading to measurable business outcomes.

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Case Study: How Actowiz Solutions Helped a U.S. Retailer Optimize Inventory Sync, Delivery Times, and Warehouse Planning

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Client Overview

Business Challenge

Actowiz Solutions Approach

Step 1: Inventory Sync with Amazon & Walmart

Step 2: Delivery Time Optimization

Step 3: Warehouse Planning Using Stock Trends

Key Features Delivered by Actowiz Solutions

Tech Stack Used

Client Feedback

Business Impact Summary

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