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GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => Array ( [geoname_id] => 4744870 [names] => Array ( [de] => Ashburn [en] => Ashburn [es] => Ashburn [fr] => Ashburn [ja] => アッシュバーン [pt-BR] => Ashburn [ru] => Ашберн [zh-CN] => 阿什本 ) ) [continent] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [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 ) ) [country] => 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 ) ) [location] => Array ( [accuracy_radius] => 20 [latitude] => 39.0469 [longitude] => -77.4903 [metro_code] => 511 [time_zone] => America/New_York ) [postal] => Array ( [code] => 20149 ) [registered_country] => 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 ) ) [subdivisions] => Array ( [0] => Array ( [geoname_id] => 6254928 [iso_code] => VA [names] => Array ( [de] => Virginia [en] => Virginia [es] => Virginia [fr] => Virginie [ja] => バージニア州 [pt-BR] => Virgínia [ru] => Вирджиния [zh-CN] => 弗吉尼亚州 ) ) ) [traits] => Array ( [ip_address] => 18.97.9.175 [prefix_len] => 18 ) ) [continent:protected] => GeoIp2\Record\Continent Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [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 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => code [1] => geonameId [2] => names ) ) [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 [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [locales:protected] => Array ( [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 ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [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 ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names [5] => type ) ) [traits:protected] => GeoIp2\Record\Traits Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [ip_address] => 18.97.9.175 [prefix_len] => 18 [network] => 18.97.0.0/18 ) [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] => 4744870 [names] => Array ( [de] => Ashburn [en] => Ashburn [es] => Ashburn [fr] => Ashburn [ja] => アッシュバーン [pt-BR] => Ashburn [ru] => Ашберн [zh-CN] => 阿什本 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => names ) ) [location:protected] => GeoIp2\Record\Location Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [accuracy_radius] => 20 [latitude] => 39.0469 [longitude] => -77.4903 [metro_code] => 511 [time_zone] => America/New_York ) [validAttributes:protected] => Array ( [0] => averageIncome [1] => accuracyRadius [2] => latitude [3] => longitude [4] => metroCode [5] => populationDensity [6] => postalCode [7] => postalConfidence [8] => timeZone ) ) [postal:protected] => GeoIp2\Record\Postal Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => 20149 ) [validAttributes:protected] => Array ( [0] => code [1] => confidence ) ) [subdivisions:protected] => Array ( [0] => GeoIp2\Record\Subdivision Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6254928 [iso_code] => VA [names] => Array ( [de] => Virginia [en] => Virginia [es] => Virginia [fr] => Virginie [ja] => バージニア州 [pt-BR] => Virgínia [ru] => Вирджиния [zh-CN] => 弗吉尼亚州 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isoCode [3] => names ) ) ) )
country : United States
city : Ashburn
US
Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS14618 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )
This case study focuses on a prominent multinational CPG brand that leveraged artificial intelligence (AI), machine learning (ML), and sentiment analysis to develop innovative global product listing strategies, gaining a competitive advantage in the market.
Note: You’ll receive it via email shortly after submitting the form.
In the dynamic world of consumer packaged goods (CPG), harnessing the power of big data has become essential for businesses seeking to drive agility and fuel growth. This case study focuses on a prominent multinational CPG brand that leveraged artificial intelligence (AI), machine learning (ML), and sentiment analysis to develop innovative global product listing strategies, gaining a competitive advantage in the market.
As a multimillion-dollar enterprise with a vast product portfolio and a widespread retail presence across 190 countries, the client faced the challenge of managing substantial volumes of unstructured data daily. With over 400 products and a need to optimize product assortments for growth in the Indian market, the company recognized the importance of maintaining a robust supply chain across various e-commerce platforms such as Amazon, Walmart, and Flipkart. To tackle this, custom-crawled web data analysis emerged as a viable solution to assess product performance across multiple channels.
The client sought to extract data from more than 500 online marketplaces, encompassing their products and competitor offerings daily. This ambitious goal required a large-scale crawling and data extraction effort, spanning over 8,000 web pages across the internet.
Duration: The collaboration has been ongoing for over two years.
Type of Service: Actowiz Solutions provides custom web crawling services to meet clients' needs.
Actowiz Solutions developed custom crawlers tailored to extract crucial product information, including name, brand, price, seller name, average rating, review count, and best-seller rank. These advanced crawlers delved deeper, capturing data on all sellers associated with the products and employing sentiment analysis to derive insights from customer reviews.
Business Impact: Through the strategic utilization of big data and customized web crawling solutions, the CPG brand achieved significant business benefits:
Improved Business Agility: Access to on-demand insights and real-time data empowered the company to respond to market changes and adapt its strategies quickly.
Enhanced Predictive Accuracy: Leveraging AI and ML technologies, the brand refined its predictive models, resulting in more accurate sales forecasts and improved demand planning.
Increased Brand Visibility: By monitoring its online presence and optimizing product listings, the company experienced a 20% increase in brand visibility, fostering stronger connections with its target audience.
Resource Optimization and Cost Reduction: Automating data tracking and analysis led to a 50% reduction in resource utilization and associated costs, optimizing the client's operations.
Online Sales Growth: Selected product categories witnessed a visible 15% increase in online sales, driven by data-driven optimizations and targeted marketing strategies.
Ensuring Brand Integrity: Through automated tracking of products and sellers, the company effectively identified and blocked unauthorized sellers, ensuring compliance with minimum advertised price (MAP) policies and safeguarding its brand reputation.
This case study exemplifies how leveraging big data, AI, ML, and sentiment analysis can enable consumer packaged goods companies to achieve business agility and foster growth. Actowiz Solutions provided the necessary expertise and technology to extract valuable data, empowering clients to make data-driven decisions and stay ahead in a competitive market. The client witnessed remarkable improvements in brand visibility, sales performance, and resource efficiency by effectively harnessing data insights through customized web crawling solutions.
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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
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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.
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.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations