Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
 
GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

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

            [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
                        )

                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

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

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

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

                    [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
                                )

                        )

                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

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

            [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
                        )

                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

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

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

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

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

            [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
                        )

                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

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

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [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
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.184
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

        )

    [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
                        )

                )

            [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] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

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

            [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] => 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
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.184
                    [prefix_len] => 22
                )

        )

)

 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

+1 ▼
  • Home
  • Work
  • Top E-Commerce Trend Tools Used by Actowiz Solutions

Case Study: Top Tools for Tracking E-Commerce Trends – Powered by Actowiz Solutions

Actowiz Solutions reveals top tools & scraping methods used to track e-commerce trends, price drops & demand patterns across Amazon, Walmart & Flipkart in 2025.

Download Case Studies

✓ Valid

Note: You’ll receive it via email shortly after submitting the form.

Case-Study-Actowiz-Solutions-–-ML-Driven-Cart-Abandonment-Triggers-from-SKU-Trends-in-Zapp-UK

Executive Summary

Understanding e-commerce trends is critical for retail success in 2025. Actowiz Solutions partnered with a global FMCG brand to deploy a trend-tracking framework across Amazon, Walmart, and Flipkart. Using smart scraping tools and analytics, the brand gained foresight into pricing drops, top-selling SKUs, and seasonal demand, resulting in a 13% boost in ad ROI and faster product launches.

Client Profile

The client is a multinational FMCG brand with products sold across Amazon, Walmart, Flipkart, and BigBasket. Their digital team lacked actionable analytics on fast-moving SKUs, trending products, and category-wise discount patterns, resulting in delayed decision-making and lower campaign effectiveness.

Problem Statement

The-Client
  • Reactive Decision-Making: Trends spotted after competitors already capitalized on them.
  • Inconsistent SKU Visibility: No consistent tracking of high-performing or declining SKUs.
  • Lack of Regional Insights: Couldn’t compare trends across Indian metros or U.S. cities.
  • Unoptimized Campaign Timing: Ads were launched after trend peaks had passed.

Actowiz Solutions Approach

The-Client

We introduced a suite of tools that enabled near real-time marketplace intelligence. Key components included:

Last-Mile Logistics
  • Tracks daily top-ranking SKUs by keyword/category
  • Flags items that enter or exit the Top 10 lists
  • Covers Amazon, Flipkart, Walmart, Meesho, and Myntra
2. Google Trends + SKU Correlation Engine
  • Aligns rising search trends with marketplace stock
  • Identifies gaps in supply for trending queries
3. Competitor Bundle Tracker
  • Tracks discounts and bundle offers by competitors
  • Monitors review velocity and seller rating changes
4. Dynamic Discount Radar
  • Measures discount intensity per category
  • Flags weekend spikes and price wars in real time
5. Integrated Power BI Dashboards
  • Weekly reports with auto-refreshed data
  • Forecasting modules using past 12-week trends

Sample Trend Dashboard Snapshot

Category: Kitchen Appliances (Amazon India – June 2025)
Product Name Price Discount Rating Units Sold Estimate Trend Status
Bajaj Toaster ₹899 20% 4.2 3,500+ Hot Seller
Philips Juicer ₹2,399 18% 4.5 2,200+ Gaining
Prestige Mixer ₹3,199 5% 3.9 1,000+ Steady

Results

Impact Metric Before Actowiz After Actowiz
Ad ROI 4.5x 5.1x (+13%)
Time to Spot Trend 7–10 days <24 hours
New Product Launch Velocity Monthly Bi-weekly
High-ROI SKU Campaign Accuracy 58% 84%

Multi-Platform Coverage

Platform Coverage Scope Region
Amazon Price, Rank, Discount, Reviews US, IN, UK
Flipkart Offers, Ratings, Delivery Tags India
Walmart Category-level trend shifts, Bundles US
Meesho Seller pricing, trending deals India
Noon Daily flash deals & surge alerts UAE

Client Feedback

"The dashboards from Actowiz gave us instant clarity on what’s rising, what’s falling, and what our competitors were doing. Our decisions are now backed by data, not just gut."

– Digital Commerce Lead, FMCG Brand

Key Advantages

  • Real-time visibility into product trends
  • Predictive analytics for promotional planning
  • Automated competitor analysis
  • Platform-agnostic tools

Ethical Considerations

  • Data collected from publicly available product pages only
  • GDPR-compliant reporting structure
  • Offers hybrid approach: API + scraping + search trend merging

    • Interested in seeing what’s trending before it peaks?

    Get in touch with Actowiz Solutions for a customized demo.
    Contact Us Today!

    Conclusion

    By combining robust scraping tools with visualization and forecasting, Actowiz Solutions empowered the client to lead—not follow—e-commerce trends. The result: smarter campaigns, faster launches, and a consistently competitive edge.

    In a crowded marketplace, trend tracking isn’t optional—it’s strategic. With Actowiz, your brand becomes predictive, not reactive.

    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 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

    Request Demo Access icon

    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
    thumb

    Tracking 5M+ SKUs Across 50 E-commerce Sites for Real-Time Price & Stock MonitoringSystem

    tracked 5M+ SKUs across 50 e-commerce sites for real-time price & stock intelligence to empower global retail strategy.
    thumb

    Enterprise Price Intelligence: Building a Global Multi-Platform Scraping System

    Actowiz Solutions builds global multi-platform scraping systems for enterprise price intelligence, enabling real-time competitive and market insights.
    thumb

    K-Beauty Market Intelligence: How Naver & Coupang Data Shaped a Turkish Importer’s Product Strategy

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

    How Compare Product Prices Weekly For Local Retail Stores Improved Sales and Customer Retention

    Discover how our solution to Compare Product Prices Weekly For Local Retail Stores helped boost sales, enhance customer loyalty, and maintain competitive pricing effectively.

    Aug 15, 2025

    Enterprise Price Intelligence: Building a Global Multi-Platform Scraping System

    Actowiz Solutions builds global multi-platform scraping systems for enterprise price intelligence, enabling real-time competitive and market insights.

    Aug 14, 2025

    Healthcare Review Analytics – Turning Patient Feedback into Insights

    Actowiz Solutions turns patient reviews into actionable healthcare insights using AI-powered review scraping, sentiment analysis, and trend tracking.

    Aug 13, 2025

    How AI Job Market Data Scraping is Shaping U.S. Hiring Trends

    Discover how AI-driven job market data scraping is transforming U.S. hiring trends with real-time insights, salary benchmarks, and demand forecasting from Actowiz Solutions.

    Aug 12, 2025

    E-commerce Price Wars: Amazon vs Walmart – Weekly Price Analytics

    Discover how weekly price analytics reveal the Amazon vs Walmart e-commerce battle. Actowiz Solutions shares real-time price trends and competitive insights.

    Read More
    thumb

    Tracking 5M+ SKUs Across 50 E-commerce Sites for Real-Time Price & Stock Monitoring

    tracked 5M+ SKUs across 50 e-commerce sites for real-time price & stock intelligence to empower global retail strategy.

    thumb

    K-Beauty Market Intelligence: How Naver & Coupang Data Shaped a Turkish Importer’s Product Strategy

    See how Actowiz Solutions used Naver & Coupang data to identify trending K-Beauty SKUs, prices, and stock insights for the Turkish cosmetics market.

    thumb

    How Compare Product Prices Weekly For Local Retail Stores Improved Sales and Customer Retention

    Discover how our solution to Compare Product Prices Weekly For Local Retail Stores helped boost sales, enhance customer loyalty, and maintain competitive pricing effectively.

    Read More
    thumb

    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.

    thumb

    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.

    thumb

    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
    thumb

    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.
    thumb

    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.
    thumb

    Weekly Uber Eats Data Tracking of Vendor Activity in New York

    Analyze vendor trends with Weekly Uber Eats data in New York, tracking menus, pricing, and activity for strategic food delivery insights.
    Read More