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GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

        )

    [location:protected] => GeoIp2\Record\Location Object
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                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

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    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
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    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
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                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [validAttributes:protected] => Array
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                    [0] => code
                    [1] => geonameId
                    [2] => names
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
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                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [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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            [validAttributes:protected] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

        )

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

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [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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                    [1] => geonameId
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
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            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
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                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [17] => network
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                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.110
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
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        )

    [raw:protected] => Array
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            [city] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                )

            [continent] => Array
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                    [geoname_id] => 6255149
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                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
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                    [time_zone] => America/New_York
                )

            [postal] => Array
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                    [code] => 43215
                )

            [registered_country] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                )

            [subdivisions] => Array
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                    [0] => Array
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                            [geoname_id] => 5165418
                            [iso_code] => OH
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                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

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                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.110
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        )

)
 country : United States
 city : Columbus
US
Array
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    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
Case-Study-Reducing Costs Through Drug Price Analysis for a Healthcare Provider

About Client

In an era of rising healthcare expenses, Healthcare Cost Reduction has become a top priority for hospitals and medical providers. Actowiz Solutions partnered with a leading healthcare provider to implement an advanced Drug Price Analysis system, leveraging Big Data in Healthcare Pricing and AI in Drug Price Analysis to optimize medication procurement and Reducing Drug Costs. The integration of cutting-edge data analytics helped the client make informed decisions, improving cost efficiency and ensuring affordable care for patients.

Client Background

Our client, a multi-specialty hospital chain operating across multiple locations, was struggling with Hospital Drug Cost Management due to fluctuating medication prices and inefficient Pharmacy Cost Analysis. Their goal was to adopt a data-driven Drug Pricing Strategy to ensure cost-effective procurement while maintaining high-quality patient care. The client was also facing challenges in complying with regulations and ensuring transparency in drug pricing.

Challenges Faced by the Client

Challenges Faced by the Client

The healthcare provider encountered several key challenges before partnering with Actowiz Solutions:

  • Rising Drug Costs – Without Pharmaceutical Price Monitoring, the hospital was paying significantly higher prices for common medications. Fluctuating supplier prices made budgeting difficult.

  • Lack of Competitive Insights – The absence of Competitive Drug Pricing data made it difficult to negotiate better deals with suppliers. The client lacked access to a system that compared competitor pricing trends.

  • Inefficient Procurement Process – Manual Medicine Cost Optimization resulted in inconsistent pricing structures across different hospital branches. There was no centralized system to track spending.

  • Data Discrepancies – A lack of centralized Healthcare Pricing Analytics led to uninformed decision-making and frequent discrepancies in reported pricing.

  • No Real-Time Prescription Price Comparison – The hospital was unable to track real-time changes in Medicine Price Trends, leading to cost inefficiencies and delayed procurement decisions.

  • Compliance and Regulatory Challenges – The hospital needed a reliable system to ensure adherence to pricing regulations and industry standards.

Actowiz Solutions’ Approach

Actowiz Solutions’ Approach-0

To tackle these challenges, Actowiz Solutions implemented a comprehensive Drug Price Analysis system, integrating AI-driven Pharmaceutical Price Monitoring tools to optimize procurement and streamline Healthcare Expense Management. The approach focused on three key areas:

1. Implementation of AI in Drug Price Analysis
  • Developed an AI-powered Drug Pricing Strategy that provided real-time Prescription Price Comparison.

  • Used predictive analytics to track Medicine Price Trends and forecast future fluctuations, enabling smarter procurement decisions.

  • Integrated Big Data in Healthcare Pricing to assess cost variations across multiple vendors.

2. Pharmacy Cost Analysis for Better Cost Management
  • Conducted a detailed Pharmacy Cost Analysis to identify high-cost drugs and potential cost-effective alternatives.

  • Implemented automated Competitive Drug Pricing reports to negotiate better contracts with suppliers.

  • Standardized procurement processes to ensure cost transparency across all hospital branches.

3. Big Data in Healthcare Pricing for Transparency
  • Integrated multiple data sources for a unified Healthcare Pricing Analytics dashboard.

  • Provided real-time alerts on price changes, enabling proactive Medicine Cost Optimization.

  • Enhanced reporting mechanisms to ensure compliance with regulatory requirements.

4. Optimizing Hospital Drug Cost Management
  • Standardized procurement guidelines to ensure consistent pricing across all departments.

  • Implemented a Healthcare Expense Management framework to track and analyze costs effectively.

  • Leveraged advanced analytics to identify and eliminate unnecessary expenditures.

5. Enhancing Drug Pricing Strategy with Real-Time Insights
  • Utilized AI-driven insights for Pharmaceutical Price Monitoring, ensuring cost-effective purchasing.

  • Provided historical data trends to support strategic decision-making in Reducing Drug Costs.

  • Developed customizable reports for better financial planning and budget allocation.

Results Achieved

Results Achieved

Within six months of implementing Actowiz Solutions’ Drug Price Analysis system, the client achieved remarkable results:

  • 25% reduction in overall drug procurement costs, leading to significant Healthcare Cost Reduction.

  • 30% improvement in supplier negotiations using real-time Competitive Drug Pricing insights.

  • 20% faster procurement process, enhancing Hospital Drug Cost Management efficiency and reducing administrative burdens.

  • Accurate Medicine Price Trends tracking, ensuring cost-effective purchasing decisions by anticipating price fluctuations.

  • Automated Pharmacy Cost Analysis, reducing manual errors and inconsistencies while improving compliance with industry standards.

  • Better Prescription Price Comparison, leading to informed decision-making and reduced dependency on expensive suppliers.

  • Improved regulatory compliance, ensuring adherence to pricing regulations and avoiding financial penalties.

Client Testimonial

“Actowiz Solutions provided us with a game-changing Drug Price Analysis system. We reduced procurement costs by 25%, improved negotiations by 30%, and streamlined purchasing across all branches. Their AI-driven insights helped us stay ahead of market trends and secure better pricing deals. This transformation has significantly enhanced our financial efficiency and improved patient affordability. Actowiz Solutions is truly a trusted partner in our cost-reduction journey.”

— Chief Procurement Officer, Leading Healthcare Provider

Long-Term Impact and Future Strategies

Long-Term Impact and Future Strategies

By leveraging Big Data in Healthcare Pricing, AI in Drug Price Analysis, and advanced Pharmaceutical Price Monitoring, Actowiz Solutions successfully helped the client achieve substantial Healthcare Cost Reduction. The integration of Healthcare Pricing Analytics, Prescription Price Comparison, and Medicine Cost Optimization enabled smarter procurement decisions and enhanced financial efficiency.

Looking ahead, the healthcare provider plans to:

  • Expand the Drug Pricing Strategy to cover a wider range of medications and suppliers.

  • Implement deeper Predictive Analytics in Healthcare Pricing to anticipate cost fluctuations more accurately.

  • Further refine Telehealth and Digital Pharmacy Integration to provide patients with more transparent pricing information.

  • Develop AI-Powered Cost Forecasting Models to streamline future budgeting and procurement strategies.

  • Continue working with Actowiz Solutions to adapt to emerging Healthcare Technology Trends 2025 and beyond.

Conclusion

The case study demonstrates how Actowiz Solutions transformed a leading healthcare provider’s drug procurement process through advanced Drug Price Analysis and Healthcare Expense Management. By implementing AI-driven insights, Competitive Drug Pricing monitoring, and predictive analytics, the client not only achieved significant Reducing Drug Costs but also enhanced their overall Hospital Drug Cost Management.

With a focus on Medicine Cost Optimization, Healthcare Pricing Analytics, and Pharmaceutical Price Monitoring, Actowiz Solutions continues to help healthcare providers achieve financial sustainability while delivering top-quality patient care.

Want to optimize your drug procurement costs? Contact Actowiz Solutions today and transform your healthcare pricing strategy with data-driven insights!

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 & palniring

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 inights Top-slling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Relail Partner)

"Actow's helped us reduce out of ststack 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

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All
Blog
Case Studies
Infographics
Report
Aug 08, 2025

Discounted Devotion? Janmashtami Offer Mapping Across Quick Commerce Platforms

Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.

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Track Janmashtami Quick Commerce Banner Leaders – Dairy, Mithai & Puja Brands Insights

Discover which dairy, mithai & puja brands led Janmashtami quick commerce banners with Actowiz Solutions’ visibility scores & festive promotions insights.

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🇮🇳 India: Independence Day Sale Price Mapping – Flipkart vs Amazon

Actowiz Solutions compares Flipkart & Amazon prices during India’s Independence Day Sale 2025. Discover top deals, price drops & brand discount trends.

Aug 08, 2025

Discounted Devotion? Janmashtami Offer Mapping Across Quick Commerce Platforms

Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.

Aug 08, 2025

Grocery Discount Trends from Toters, JOKR, and Getir – Regional Analysis

Explore Toters, JOKR & Getir grocery discounts across regions—data insights, trends, and strategic analysis by Actowiz Solutions.

Aug 07, 2025

How to Track Weekly Flipkart Electronics Prices for Smarter Pricing Decisions & Competitive Edge?

Track weekly Flipkart electronics prices to stay competitive, adjust pricing smartly, and make data-driven decisions that boost visibility and conversions.

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Track Janmashtami Quick Commerce Banner Leaders – Dairy, Mithai & Puja Brands Insights

Discover which dairy, mithai & puja brands led Janmashtami quick commerce banners with Actowiz Solutions’ visibility scores & festive promotions insights.

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Price Tracking of Rakhi Gift Hampers – Did Discounts Really Deliver Value?

Discover how Actowiz Solutions scraped Rakhi gift hamper prices from Q-commerce platforms to reveal real festive discount insights with real-time pricing data.

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Real-Time Ride Fare Comparison: Uber vs DiDi vs Bolt Across 7 Countries

Compare Uber, DiDi & Bolt ride fares across 7 countries with real-time scraping insights. Discover surge patterns, price differences & platform efficiency globally.

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🇮🇳 India: Independence Day Sale Price Mapping – Flipkart vs Amazon

Actowiz Solutions compares Flipkart & Amazon prices during India’s Independence Day Sale 2025. Discover top deals, price drops & brand discount trends.

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Lazada Grocery App Dataset Analysis - Market Intelligence & Grocery Delivery Trends for American Startups

Explore Lazada grocery App dataset insights to uncover grocery delivery trends, pricing, and market gaps for American startups entering Southeast Asian markets.

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Raksha Bandhan & Independence Day 2025: How Holiday Travel Surges Impacted Flight and Hotel Pricing in India

Explore Actowiz Solutions' scraped data report on travel price surges in India during Raksha Bandhan & Independence Day 2025. Flight, hotel & booking insights inside.