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GeoIp2\Model\City Object
(
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    [continent:protected] => GeoIp2\Record\Continent Object
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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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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [names] => Array
                        (
                            [de] => USA
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                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [ip_address] => 216.73.216.24
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [19] => staticIpScore
                    [20] => userCount
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        )

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

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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
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                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [7] => postalConfidence
                    [8] => timeZone
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        )

    [postal:protected] => GeoIp2\Record\Postal Object
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                    [code] => 43215
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            [validAttributes:protected] => Array
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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
                                (
                                    [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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)
 country : United States
 city : Columbus
US
Array
(
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    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
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

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

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

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

    Industry:

    Coffee / Beverage / D2C

    Result

    2x Faster

    Smarter product targeting

    ★★★★★

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

    Operations Manager, Beanly Coffee

    ✓ Competitive insights from multiple platforms

    Industry:

    Real Estate

    Result

    2x Faster

    Real-time RERA insights for 20+ states

    ★★★★★

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

    Data Analyst, Aditya Birla Group

    ✓ Boosted data acquisition speed by 3×

    Industry:

    Organic Grocery / FMCG

    Result

    Improved

    competitive benchmarking

    ★★★★★

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

    Product Manager, 24Mantra Organic

    ✓ Real-time SKU-level tracking

    Industry:

    Quick Commerce

    Result

    2x Faster

    Inventory Decisions

    ★★★★★

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

    Aarav Shah, Senior Data Analyst, Mensa Brands

    ✓ 28% product availability accuracy

    ✓ Reduced OOS by 34% in 3 weeks

    Industry:

    Quick Commerce

    Result

    3x Faster

    improvement in operational efficiency

    ★★★★★

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

    Business Development Lead,Organic Tattva

    ✓ Weekly competitor pricing feeds

    Industry:

    Beverage / D2C

    Result

    Faster

    Trend Detection

    ★★★★★

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

    Marketing Director, Sleepyowl Coffee

    Boosted marketing responsiveness

    Industry:

    Quick Commerce

    Result

    Enhanced

    stock tracking across SKUs

    ★★★★★

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

    Growth Analyst, TheBakersDozen.in

    ✓ Improved rank visibility of top products

    Trusted by Industry Leaders Worldwide

    Real results from real businesses using Actowiz Solutions

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

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

    Blinkit (Delhi NCR)

    In Stock
    ₹524

    Amazon USA

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

    Appzon AirPdos Pro

    Price
    Drop −12 thr

    Zepto (Mumbai)

    Improved inventory
    visibility & planning

    Monitor Prices, Availability & Trends -Live Across Regions

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

    ✔ Scraped Data: Price Insights Top-selling SKUs

    Our Data Drives Impact - Real Client Stories

    Blinkit | India (Retail Partner)

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

    ✔ Scraped Data, SKU availability, delivery time

    US Electronics Seller (Amazon - Walmart)

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

    ✔ Scraped Data, SKU availability, delivery time

    Zepto Q Commerce Brand

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

    ✔ Scraped Data, SKU availability, delivery time

    Actowiz Insights Hub

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

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