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GeoIp2\Model\City Object
(
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                            [ja] => コロンバス
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [3] => isoCode
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        )

    [locales:protected] => Array
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        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.24
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                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [2] => connectionType
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                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
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                    [11] => isPublicProxy
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [17] => network
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                    [19] => staticIpScore
                    [20] => userCount
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                )

        )

    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
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                            [en] => Columbus
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                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
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                                )

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                    [validAttributes:protected] => Array
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)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
Tracking-SKUs-Across-E-commerce-Sites-for-Real-Time-Price-Stock-Monitoring-01.webp

Executive Summary

Client Industry: Global Consumer Electronics & Home Appliances

Markets Covered: North America, Europe, Asia-Pacific

Scope: 5M+ SKUs, 50 e-commerce platforms, daily price & stock refresh

Objective: Real-time competitive price intelligence and inventory visibility

Actowiz Solutions designed and implemented an enterprise-scale multi-platform scraping system that monitors millions of SKUs daily, enabling our client to optimize pricing, detect competitor moves, and improve supply chain planning.

Introduction / Background

Introduction-Background-01

Our client, a global retail leader in electronics and appliances, operates in multiple countries and sells through both direct channels and third-party marketplaces. They faced:

  • Fragmented competitive data spread across different regions and platforms
  • Frequent price changes and flash sales they could not track in real-time
  • Stock visibility issues leading to lost sales opportunities

Without a unified price and inventory monitoring system, decision-making was reactive instead of proactive.

Challenges & Goals

Challenges:
  • Scale: Over 5 million SKUs to be monitored daily.
  • Platform Diversity: Amazon, Walmart, Best Buy, Target, Flipkart, and 45+ regional e-commerce sites — each with different structures.
  • Data Complexity: Need to capture not just base price, but discounts, coupon offers, multi-pack pricing, and stock status.
  • Latency: Competitor pricing changes multiple times per day.
  • Compliance: Scraping must follow local laws and platform policies.
Goals:
  • Build a real-time, scalable scraping infrastructure.
  • Normalize product data for easy cross-platform comparison.
  • Provide instant alerts for price changes, stock-outs, and promotions.
  • Integrate with client’s BI system for automated decision-making.

Solution Approach

Actowiz Solutions built a global price and stock intelligence platform using:

  • Cloud-based scalable crawlers for 24/7 monitoring.
  • Geo-targeted IP rotation for local price accuracy.
  • AI-powered product matching to map SKUs across platforms.
  • Real-time API feeds delivering fresh data into client’s ERP & BI tools.

Features Implemented:

  • 1. Multi-Currency Conversion: All prices converted to USD & local currencies.
  • 2. Stock Status Detection: “In stock”, “Low stock”, “Out of stock” tracking.
  • 3. Promotion Capture: Coupons, bundle deals, BOGO, and flash sale flags.
  • 4. Historical Price Trends: Daily archiving for analytics.
  • 5. Custom Alerts: SMS/email notifications for high-impact changes.

Data & Methodology

We extracted:

  • Product Name & SKU
  • Platform & Seller Info
  • Current & Previous Price
  • Discount %
  • Stock Status
  • Date & Time of Update
Sample Scraped Data:
SKU Platform Price Prev. Price % Change Stock Discount Date
SAM-S24-128GB Amazon US $799.99 $849.99 -5.9% In Stock 10% 2025-08-10
SAM-S24-128GB Flipkart IN ₹66,999 ₹69,999 -4.3% In Stock 5% 2025-08-10
SONY-55X90L Best Buy CA CA$1,199 CA$1,299 -7.7% Low Stock 8% 2025-08-10

Results & Insights

Measurable Outcomes:
  • Data Coverage: 99.3% SKU coverage across 50 platforms.
  • Price Change Detection: 97% accuracy in tracking daily adjustments.
  • Stock Visibility: Improved out-of-stock detection from 48 hrs to under 3 hrs.
  • Decision Speed: Pricing strategy adjustments now occur same day, instead of weekly.
Key Insights Delivered:
  • Competitor A ran unannounced weekend discounts 12 times in 3 months.
  • Platform B’s sellers frequently used hidden coupons to undercut MAP prices.
  • Certain SKUs had high volatility in the Indian and Middle Eastern markets.

Conclusion & Future Outlook

By integrating Actowiz Solutions’ real-time scraping system, the client transformed their pricing and inventory management from reactive to predictive.

Future plans:
  • Add AI-driven price forecasting models.
  • Expand monitoring to quick commerce platforms.
  • Implement image-based price recognition for in-store shelf tracking.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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