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 country : United States
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US
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)
How-FMCG-Real-Time-Data-Scraping-Helps-FMCG-Brands-Stay-Competitive

Introduction

In the fast-moving consumer goods (FMCG) industry, where agility and speed define success, staying ahead of competitors takes more than just quality products and attractive packaging. Brands must respond instantly to pricing changes, stock fluctuations, and promotional activities. That’s where FMCG Real-Time Data Scraping comes in — giving companies a decisive edge in today’s dynamic retail ecosystem.

Introduction

Modern FMCG players face the immense challenge of tracking product listings, prices, inventory, and discounts across various online platforms like Zepto, Blinkit, and Amazon Fresh. Without automation, this becomes a time-consuming, manual process prone to inaccuracies and delays.

Key Challenges in the FMCG Space

In today’s hyper-competitive retail environment, FMCG brands must be more agile than ever. But several key operational challenges continue to slow them down — particularly around data visibility and responsiveness. Let’s examine the top challenges and the impact they create.

Monitoring Competitor Pricing and Promotions

FMCG brands often sell through multiple platforms like Amazon Fresh, Blinkit, Zepto, and JioMart. Keeping track of real-time pricing and promotional activities across these marketplaces is complex and time-consuming. Without automated insights, brands risk losing the pricing war or missing promotional windows.

Challenge Impact Stat / Insight
Lack of real-time price monitoring Missed competitive pricing opportunities 67% of FMCG firms report difficulties in tracking competitor pricing in real-time (Statista, 2023)
Tracking Stock Levels and Product Availability

Inventory mismatch between the brand’s backend and what's visible to consumers on platforms often leads to lost sales and poor customer satisfaction. Without real-time stock monitoring, brands may not be aware when SKUs are out of stock or incorrectly listed.

Challenge Impact Stat / Insight
Inaccurate stock tracking Lost revenue due to stockouts or oversupply 30% of FMCG retailers report frequent inventory visibility issues across e-commerce platforms (RetailDive, 2024)
Gathering Reliable Data at Speed

Manual data collection methods cannot match the pace of today’s real-time market. Teams struggle to gather, clean, and consolidate data fast enough for meaningful action, which delays key decisions.

Challenge Impact Stat / Insight
Slow manual data gathering Delayed decision-making 70% of FMCG analysts say data delays hinder timely promotions and pricing updates (Deloitte FMCG Outlook, 2024)
Inconsistent Data Formats and Sources

Different platforms offer different structures and data points — some with missing or incompatible attributes. Standardizing this data manually is inefficient and error-prone, creating confusion in analytics and planning.

Challenge Impact Stat / Insight
Unstructured data across platforms Errors in analysis and forecasting 61% of FMCG brands struggle to unify multichannel data for accurate insights (McKinsey FMCG Report, 2023)

Without access to clean, real-time data, even top-performing FMCG brands face lost revenue, misaligned pricing strategies, and inefficient operations. This is exactly where FMCG Real-Time Data Scraping from Actowiz Solutions proves invaluable—transforming raw, scattered data into actionable intelligence.

Ready to overcome these challenges? Let Actowiz Solutions help you streamline data scraping and stay ahead of the competition!
Contact Us Today!

The Power of FMCG Real-Time Data Scraping

In the digital-first era, data is the driving force behind competitive advantage. FMCG Real-Time Data Scraping leverages automation to collect and update high-frequency data from ecommerce and delivery platforms such as Amazon Fresh, Blinkit, Zepto, and BigBasket. By doing so, FMCG brands gain uninterrupted visibility into market dynamics.

What Can Be Monitored with Real-Time Scraping?

1. Competitor Product Pricing

Staying aligned with or undercutting competitor pricing is vital for winning the digital shelf. Real-time insights ensure brands are never caught off guard.

2. SKU Availability

Constant monitoring of product availability prevents out-of-stock issues and helps brands maintain optimal inventory exposure.

3. Discount Campaigns

Tracking promotional campaigns from competing brands allows for timely counter-promotions or offer adjustments.

4. Stock-Out Alerts

Automated stock-out alerts enable brands to act quickly—replenishing products or reallocating marketing budgets.

Feature Benefit Stat / Insight
Real-time competitor pricing Improved pricing strategies 73% of brands using automated price scraping adjust prices 2x faster (Statista, 2023)
SKU availability monitoring Reduced stockouts & inventory gaps Brands using real-time SKU scraping reduce stockouts by 28% (RetailTech Insights, 2024)
Campaign tracking Competitive promotional alignment 64% of FMCG marketers cite promo intelligence as key to campaign success (NielsenIQ, 2023)
Stock-out alerts Faster restocking response Stock-out alerts helped FMCG brands recover lost sales 20% faster (McKinsey, 2023)

Internal Value: From Raw Data to Strategic Action

FMCG data scraping not only helps with external market tracking but also provides value internally. Clean, structured datasets are delivered in real time to internal BI and analytics systems, fueling smarter business decisions.

When combined with real-time FMCG analytics, this data enables:

  • Quicker reaction to price wars
  • Rapid A/B testing of offers
  • Better forecasting accuracy
  • Supply chain optimization
Use Case Business Impact Stat / Insight
Structured data for BI teams Reduced manual data cleaning Companies reduced data prep time by 40% (Gartner Analytics Survey, 2024)
Real-time analytics synergy Increased responsiveness to market changes 2.5x faster decision-making cycles with real-time analytics (Forrester, 2023)

FMCG Real-Time Data Scraping turns fragmented data into a continuous stream of market intelligence — helping pricing teams, planners, and marketers stay proactive instead of reactive. This level of insight isn't just a competitive edge — it's a necessity in today's FMCG battlefield.

How Actowiz Solutions Delivers Competitive Advantage?

How-Actowiz-Solutions-Delivers-Competitive-Advantage

In an era where timing and precision define success, Actowiz Solutions empowers FMCG brands with cutting-edge, real-time web scraping capabilities. By specializing in web scraping FMCG products, we equip brands with accurate, high-speed, and actionable data — helping them stay ahead in one of the most competitive sectors.

Our FMCG Real-Time Data Scraping solutions are built to provide end-to-end visibility across pricing, promotions, stock levels, and customer sentiment on platforms like Amazon Fresh, Blinkit, Zepto, and BigBasket.

Here’s how we help:

FMCG Market Intelligence Tools

Our customized dashboards and alert systems offer tailored market views for product managers, pricing strategists, and retail analysts.

Feature Benefit Stat / Insight
Custom dashboards & alerts Faster insights for teams 71% of FMCG firms report improved time-to-insight with custom scraping tools (Deloitte, 2023)
High-Speed, Cloud-Based Scraping Pipelines

We deploy scalable infrastructure for real-time retail data scraping, ensuring you never miss a market event or trend.

Feature Benefit Stat / Insight
Cloud-based scraping pipelines Real-time access to data Cloud scraping reduces data latency by up to 60% (TechCrunch Industry Report, 2024)
FMCG Competitor Price Monitoring

Brands can dynamically track price fluctuations and reposition products accordingly.

Feature Benefit Stat / Insight
Real-time price tracking Better pricing competitiveness 68% of FMCG brands using automated price tracking improved margin control (Statista, 2023)
FMCG Sentiment Analysis

We extract reviews and social mentions for actionable FMCG sentiment analysis, revealing consumer preferences and dissatisfaction early.

Feature Benefit Stat / Insight
Sentiment extraction from UGC Improved product feedback loop Brands using sentiment scraping react to complaints 3x faster (Forrester, 2023)
Historical Data for FMCG Demand Forecasting

We provide structured time-series data that supports predictive models for sales and inventory planning.

Feature Benefit Stat / Insight
Historical scraping pipelines Accurate demand prediction Companies saw 20% improvement in forecast accuracy (Gartner, 2024)
Real-Time Inventory Tracking & Sales Data Scraping

Track SKU-level availability and sales metrics across marketplaces to benchmark against competitors.

Feature Benefit Stat / Insight
Inventory & sales monitoring Minimized stockouts & optimized supply Brands using real-time tracking cut stockouts by 32% (McKinsey, 2023)

Actowiz Solutions delivers not just data, but intelligence — empowering FMCG brands to operate smarter, react quicker, and lead confidently in a rapidly changing retail landscape.

Unlock real-time insights and stay ahead of competitors. Contact Actowiz Solutions today to enhance your FMCG strategy!
Contact Us Today!

Case Study: Saving Time and Boosting Accuracy

The Client

Our client is a top-tier FMCG brand in India known for its extensive portfolio of food and personal care products. With over 500 SKUs distributed across multiple ecommerce and quick-commerce platforms, the brand needed a scalable way to track live product information. The company’s analytics and marketing teams rely heavily on daily product visibility, pricing fluctuations, and competitor promotions to make campaign and pricing decisions. Their goal was to eliminate manual processes, improve data reliability, and respond faster to market changes — especially during key promotional periods like Diwali, New Year, and flash sales.

Key Challenges

The client faced multiple operational hurdles that limited their responsiveness and marketing agility:

  • Time-Consuming Manual Work: Each day, employees were manually visiting multiple product URLs across Amazon Fresh, Blinkit, and BigBasket to record pricing and stock availability. This process consumed over 15 hours per week.
  • Data Inconsistencies: Manually collected data often contained discrepancies, leading to inaccurate pricing decisions and delayed campaign adjustments.
  • Lack of Real-Time Alerts: Without real-time triggers, the team often learned about competitor price drops or stockouts too late to respond effectively.
  • Scalability Limitations: With hundreds of SKUs listed across platforms, it was becoming increasingly impossible to scale monitoring efforts without automation.

These challenges were affecting the brand’s ability to stay competitive and agile in an ever-evolving retail environment. The need for a robust, automated solution was critical.

Key Solutions

Actowiz Solutions deployed its FMCG Real-Time Data Scraping system tailored to the client’s unique platform footprint and SKU count. Key implementations included:

  • Automated Crawlers: Set up for Amazon Fresh, Blinkit, and BigBasket to track product prices, availability, and promotions in real-time.
  • Accuracy Engine: Deployed smart parsing logic to achieve 99.7% data accuracy, eliminating errors from manual input.
  • Cloud Dashboards: Delivered data through easy-to-navigate dashboards with daily update logs and email alerts for key pricing or stock changes.
  • Promotional Timing Insights: The scraped data enabled the marketing team to better align promotional campaigns based on real-time competitor movements.

Results were immediate: The brand saved over 15 hours per week in manual effort, improved campaign conversions by 12%, and saw a measurable drop in pricing mismatches across listings. Data freshness and accuracy allowed stakeholders to act with confidence and agility.

Client Testimonial

"Before Actowiz, our pricing team was tied up in spreadsheets, spending hours every day trying to keep up with market changes. Their FMCG Real-Time Data Scraping solution gave us the automation we needed — with outstanding accuracy. We now act faster and smarter during high-stakes promotions. The dashboards are intuitive, the support is proactive, and the impact was almost immediate."

— Head of Ecommerce Operations, Leading FMCG Brand

This collaboration demonstrates how real-time automation can transform manual workflows into intelligent, responsive systems. Actowiz Solutions enabled the client to reclaim valuable time, enhance accuracy, and achieve better campaign outcomes. With platforms evolving daily and market competition intensifying, having a reliable FMCG Real-Time Data Scraping partner is no longer optional — it’s a necessity. For FMCG brands aiming to stay agile, efficient, and ahead of competitors, Actowiz offers proven, scalable solutions.

Conclusion

In the era of digital commerce, FMCG Real-Time Data Scraping is no longer optional — it’s essential. It helps brands maintain pricing parity, respond to competitive promotions, ensure optimal stock levels, and act swiftly on consumer demand shifts. With tools like FMCG sales data scraping and FMCG market intelligence tools, brands are better equipped to lead in a crowded market. Ready to transform your FMCG data strategy? Contact Actowiz Solutions today and start making real-time decisions with real-time data!

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                    [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] => 216.73.216.58
                    [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
                        (
                            [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
                (
                    [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] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [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] => 43215
                )

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

        )

    [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
                            [3] => names
                        )

                )

        )

)
 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
)

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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

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Real results from real businesses using Actowiz Solutions

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Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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Iulen Ibanez
CEO / Datacy.es
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★★★★★
“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!”
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Febbin Chacko
-Fin, Small Business Owner
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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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Oct 18, 2025

Mapping Product Taxonomy for E-Commerce Marketplaces – Optimize 15+ Product Categories Across Amazon, Walmart, and Target

Discover how Mapping Product Taxonomy helps optimize 15+ product categories across Amazon, Walmart, and Target, ensuring better marketplace insights.

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Maximizing Revenue with Price Intelligence - Scraping Liquor Discount Data from Drizly and Total Wine USA

Discover how Scraping Liquor Discount Data from Drizly and Total Wine USA helps businesses maximize revenue with actionable price intelligence insights.

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Real-Time Market Insights with Instacart Price and Availability Scraping for Price and Stock Analysis

This research report explores real-time market insights using Instacart price and availability scraping for product pricing and stock analysis in the USA.

Oct 18, 2025

Mapping Product Taxonomy for E-Commerce Marketplaces – Optimize 15+ Product Categories Across Amazon, Walmart, and Target

Discover how Mapping Product Taxonomy helps optimize 15+ product categories across Amazon, Walmart, and Target, ensuring better marketplace insights.

Oct 17, 2025

Building Historical Real Estate Price Datasets to Forecast Housing Trends – 15% Year-on-Year Price Variation Analysis

Build and analyze Historical Real Estate Price Datasets to forecast housing trends, track decade-long price fluctuations, and make data-driven investment decisions.

Oct 17, 2025

How Travel Agencies in Italy Use Trenitalia Data Scraping for Route Optimization to Enhance Customer Experience?

Discover how Italian travel agencies use Trenitalia Data Scraping for Route Optimization to improve scheduling, efficiency, and enhance the overall customer experience.

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Maximizing Revenue with Price Intelligence - Scraping Liquor Discount Data from Drizly and Total Wine USA

Discover how Scraping Liquor Discount Data from Drizly and Total Wine USA helps businesses maximize revenue with actionable price intelligence insights.

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Optimizing Competitive Pricing Strategies in Digital Grocery Platforms Using SKU-Level Price Intelligence

This case study explores how SKU-level price intelligence helps digital grocery platforms optimize competitive pricing, boost conversions, and increase revenue.

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Scrape Diwali Real Estate Discounts: How Actowiz Solutions Analyzed 50,000+ Property Listings Across India

Actowiz Solutions scraped 50,000+ listings to scrape Diwali real estate discounts, compare festive property prices, and deliver data-driven developer insights.

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Real-Time Market Insights with Instacart Price and Availability Scraping for Price and Stock Analysis

This research report explores real-time market insights using Instacart price and availability scraping for product pricing and stock analysis in the USA.

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U.S. EV Adoption and Infrastructure Analysis Leveraging EV Charging Station Data Scraping (Tesla, Rivian, ChargePoint)

This research report analyzes U.S. EV adoption and infrastructure trends using EV charging station data scraping from Tesla, Rivian, and ChargePoint.

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Tracking Liquor Trends on Dan Murphy’s & BWS in Australia - Insights from Data Scraping & Sales Statistics

Tracking Liquor Trends on Dan Murphy’s & BWS in Australia - Insights from Data Scraping & Sales Statistics, revealing market patterns.