Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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GeoIp2\Model\City Object
(
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                            [pt-BR] => Columbus
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                            [zh-CN] => 哥伦布
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            [postal] => Array
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            [registered_country] => Array
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                            [zh-CN] => 美国
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                                    [fr] => Ohio
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                                    [pt-BR] => Ohio
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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
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                    [geoname_id] => 6255149
                    [names] => Array
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                            [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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                )

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

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
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            [validAttributes:protected] => Array
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
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            [0] => en
        )

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

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

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [validAttributes:protected] => Array
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                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

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

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.185
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
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                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
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                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
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                    [time_zone] => America/New_York
                )

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

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => 43215
                )

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

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [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
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
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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
)

Introduction

In the rapidly evolving world of Q-commerce, pricing agility and real-time insights can make or break sales performance. As fashion e-commerce brands face constant competition and fluctuating market dynamics, leveraging advanced tools to monitor pricing and competitor behavior has become critical. Actowiz Solutions partnered with a leading online fashion retailer to implement a robust Real-Time Competitive Monitoring solution that enabled intelligent, data-driven decisions. This system transformed how the client approached price positioning, campaign timing, and product visibility, ultimately optimizing their strategy for greater sales performance in the quick-commerce landscape.

The Client

The client is a prominent name in the online fashion retail industry, selling trendy apparel and accessories across top Q-commerce and marketplace platforms. Known for its fast-moving inventory and competitive pricing, the brand was seeking better insights into market trends, competitor strategies, and real-time shifts in consumer engagement. Despite a strong product portfolio and presence on multiple platforms, the brand lacked an integrated solution to track competitor prices and their own product performance. They turned to Actowiz Solutions for an end-to-end Real-Time Competitive Monitoring system tailored to the fashion e-commerce ecosystem.

Key Challenges

The client’s primary challenge was the absence of visibility into competitor pricing and promotions, which impacted their ability to react quickly and maintain a competitive edge. Frequent manual audits were time-consuming and prone to delays, making it difficult to execute Continuous Price Optimization or manage Dynamic Pricing for Fashion Retail. Additionally, they lacked granular insights into their product performance metrics across platforms, especially in terms of E-commerce Share of Search Tracking and Real-Time Market Share Analysis . Their team also struggled to differentiate between Sponsored vs Organic Listings Tracking, limiting the effectiveness of their advertising spend. This lack of clarity affected their Fashion Retail Competitive Intelligence and inhibited effective Conversion Rate Optimization E-commerce efforts. Without actionable data, their strategies were reactive rather than proactive, affecting both visibility and margins in an increasingly aggressive market.

Key Solutions

Actowiz Solutions deployed a customized Real-Time Competitive Monitoring system that integrated data from all relevant Q-commerce platforms in one unified dashboard. This tool provided continuous updates on competitor pricing, enabling swift and informed pricing decisions. Our system supported automated Competitor Price Monitoring and allowed the brand to adapt pricing in real-time based on market trends. We introduced E-commerce Visibility Improvement tools, helping the client understand how often their products appeared in top search results. Detailed performance metrics made it easy to identify gaps in visibility and fix them with strategic listings optimization. Additionally, our solution offered insights into Fashion E-commerce Optimization trends, enabling the client to align their inventory and promotional tactics with what was currently resonating in the market. Enhanced tracking of Sponsored vs Organic Listings further helped refine their ad strategies, while advanced analytics supported decisions for maximizing Conversion Rate Optimization E-commerce efforts.

Client Testimonial

"Actowiz Solutions’ Real-Time Competitive Monitoring transformed how we manage pricing and promotions across Q-commerce platforms. The clarity and speed we gained have been game-changers. Our visibility improved significantly, and our teams are now empowered to respond to market changes instantly. We finally have a competitive intelligence system that gives us the control we need in such a dynamic space."

—Head of Digital Strategy

Conclusion

The implementation of Actowiz Solutions' Real-Time Competitive Monitoring platform gave the client a strategic advantage in the fast-paced Q-commerce sector. By enabling real-time insights, better pricing decisions, and performance tracking, the brand successfully optimized its operations for growth. With tools for Fashion Retail Competitive Intelligence , visibility enhancement, and data-backed pricing strategy, they turned challenges into opportunities. This case highlights the immense value of real-time data in navigating modern fashion e-commerce.

Ready to dominate the digital shelf with competitive insights? Contact Actowiz Solutions to build your real-time monitoring system today.

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [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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                        (
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                            [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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                            [zh-CN] => 美国
                        )

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            [location] => Array
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            [postal] => Array
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            [registered_country] => Array
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [ru] => США
                            [zh-CN] => 美国
                        )

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                                    [fr] => Ohio
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                                    [pt-BR] => Ohio
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                                    [zh-CN] => 俄亥俄州
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    [continent:protected] => GeoIp2\Record\Continent Object
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                    [geoname_id] => 6255149
                    [names] => Array
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                            [en] => North America
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                            [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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                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
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                            [zh-CN] => 美国
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
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                    [names] => Array
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                            [es] => Estados Unidos
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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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                    [3] => isoCode
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.185
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [1] => autonomousSystemOrganization
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                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                )

            [validAttributes:protected] => Array
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                    [0] => confidence
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                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [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
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
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        )

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

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
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                    [validAttributes:protected] => Array
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                            [0] => confidence
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                            [2] => isoCode
                            [3] => names
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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
)

Start Your Project

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Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

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.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

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 Galido

Co-Founder / Head of Product at Upright Data Inc.

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.”

Iulen Ibanez

CEO / Datacy.es

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!”

Febbin Chacko

-Fin, Small Business Owner

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

Request Demo Access

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

Actowiz Insights Hub

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

All

Blog

Case Studies

Infographics

Report

Aug 21, 2025

Weekly E-commerce Price Comparison in Amazon India - Trends & Insights

Track the latest Weekly E-commerce Price Comparison in Amazon India. Discover price drops, best deals, and insights to save more on trending products.

How Daily Grocery Dataset Updates for Startup Transformed a Grocery Business in Faridabad

Discover how Daily Grocery Dataset Updates for Startup helped a Faridabad grocery business boost pricing accuracy, inventory management, and competitive market positioning.

India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

Weekly Digital Shelf Analysis for Amazon – Key Insights for US Sellers

Uncover key trends with Weekly Digital Shelf Analysis for Amazon. Track pricing, visibility, and competitor moves to help US sellers boost sales and market share.

Aug 21, 2025

Weekly E-commerce Price Comparison in Amazon India - Trends & Insights

Web scraping fuels grocery price comparison apps by collecting real-time product data, helping shoppers save money and businesses track competitors.

Aug 20, 2025

Web Scraping for Grocery Price Comparison - How It Powers Real-Time Apps

Web scraping fuels grocery price comparison apps by collecting real-time product data, helping shoppers save money and businesses track competitors.

Aug 19, 2025

Weekly Price Monitoring for FMCG in India – Why It Matters for Retailers and Brands

Weekly Price Monitoring for FMCG in India helps retailers and brands track market shifts, stay competitive, optimize pricing, and boost customer loyalty.

Read More

How Daily Grocery Dataset Updates for Startup Transformed a Grocery Business in Faridabad

Discover how Daily Grocery Dataset Updates for Startup helped a Faridabad grocery business boost pricing accuracy, inventory management, and competitive market positioning.

How to Scrape Integrate Vivino Wine Data to Improve Product Matching for an Alcohol Marketplace

Discover how alcohol marketplaces boost accuracy with our Case Study - Scrape Integrate Vivino Wine Data, improving product matching, discovery, and conversions.

Scrape Zepto Sales Data to Inform Quick Commerce Expansion Strategy in Mumbai

Discover how Actowiz Solutions used Case Study - Scrape Zepto Sales Data to unlock insights, guiding quick commerce expansion strategies in Mumbai for higher growth.

Read More

India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

2025 Buying Behavior Trends: Smarter Retail Decisions Backed by Data

Explore retail buying behavior trends for 2025 with data-driven insights on Gen Z, AI, omnichannel shopping, and smart decisions from Actowiz Solutions.

Real-Time Price Monitoring & Benchmarking on Amazon & Walmart for Smarter eCommerce

Use real-time price monitoring to benchmark Amazon & Walmart prices, avoid MAP violations, and power your eCommerce intelligence with Actowiz Solutions.

Read More

Weekly Digital Shelf Analysis for Amazon – Key Insights for US Sellers

Uncover key trends with Weekly Digital Shelf Analysis for Amazon. Track pricing, visibility, and competitor moves to help US sellers boost sales and market share.

Weekly Tracking of Job Role Demand via Indeed & LinkedIn in Chicago

weekly tracking of job role demand via Indeed & LinkedIn in Chicago, analyzing hiring trends, role popularity, and market demand shifts.

Monthly Tracking of Property Prices in NYC via Realtor.com

monthly tracking of property prices in NYC, using Realtor.com data to analyze market trends, price shifts, and neighborhood-level changes.

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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