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GeoIp2\Model\City Object
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    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
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                            [es] => Columbus
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                            [ja] => コロンバス
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [pt-BR] => América do Norte
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                            [zh-CN] => 北美洲
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                                    [zh-CN] => 俄亥俄州
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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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                            [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
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                    [iso_code] => US
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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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            [validAttributes:protected] => Array
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            [validAttributes:protected] => Array
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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
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                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [14] => isTorExitNode
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        )

    [city:protected] => GeoIp2\Record\City Object
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                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
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    [location:protected] => GeoIp2\Record\Location Object
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                (
                    [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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                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

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

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

Efficient inventory management and assortment planning are critical for FMCG success in B2B retail. Brands must ensure products are consistently available across key platforms while identifying gaps in assortment. FMCG Stock availability & Assortment Intelligence Scraping enables organizations to monitor real-time stock levels, understand SKU performance, and optimize assortment strategies across METRO, DMart Ready, Jumbotail, and Reliance B2B.

By leveraging structured data from these platforms, companies can transform raw stock and pricing information into actionable insights. This approach supports demand forecasting, pricing optimization, and competitive benchmarking. With the growing complexity of FMCG distribution, scraping technology provides faster, more accurate visibility into stock availability, reducing out-of-stock risks and enhancing customer satisfaction.

This report explores how leading FMCG brands utilize advanced scraping and data extraction techniques to track SKUs, analyze assortment gaps, and improve operational efficiency from 2020 to 2026.

Optimizing Stock Visibility Across Key B2B Platforms

Monitoring stock availability is the foundation of FMCG supply chain efficiency. Extract Stock Availability for METRO, DMart Ready provides insights into which SKUs are consistently in demand and which require replenishment.

Stock Availability Trends (2020–2026)
Year METRO Stock Accuracy (%) DMart Ready Stock Accuracy (%)
2020 78% 75%
2022 82% 80%
2024 87% 85%
2026 92% 90%

Real-time extraction allows brands to detect potential stock-outs early, ensuring top SKUs remain available. By monitoring replenishment rates and inventory turnover, organizations can optimize logistics, reduce lost sales, and plan procurement efficiently. Data-driven stock insights also support allocation strategies, ensuring high-demand SKUs are prioritized across different regions and platforms.

Expanding Data Collection to Jumbotail & Reliance B2B

For a broader market view, FMCG Data Scraping for Jumbotail & Reliance B2B captures SKU-level stock, pricing, and availability trends.

Platform Data Insights (2020–2026)
Year Jumbotail SKU Coverage (%) Reliance B2B SKU Coverage (%)
2020 60% 55%
2022 70% 65%
2024 82% 78%
2026 90% 88%

Scraping across multiple B2B channels ensures brands identify performance differences between platforms. Jumbotail may show high daily demand for fast-moving SKUs, while Reliance B2B highlights larger bulk purchasing trends. Combining insights helps optimize assortment, target promotions, and plan logistics more accurately, improving overall market responsiveness.

Monitoring SKU Availability in Real Time

Effective inventory management relies on Tracking FMCG SKU availability. Brands need continuous visibility into stock levels to prevent revenue loss.

SKU Monitoring Metrics (2020–2026)
Year Avg SKUs Tracked Stock-Out Incidents (%)
2020 500 12
2022 1,000 9
2024 1,500 6
2026 2,000 3

Real-time tracking allows proactive replenishment and identifies high-demand SKUs that may need priority allocation. Monitoring stock movement across METRO, DMart Ready, Jumbotail, and Reliance B2B provides actionable insights into product performance, seasonal trends, and regional variations. This intelligence supports inventory planning, pricing, and promotional strategies.

Assortment and Regional Availability Challenges

One of the biggest hurdles for FMCG brands is ensuring the right assortment is available in the right region at the right time. Assortment + regional availability is a major challenge for brands as consumer preferences, demand patterns, and distribution capabilities vary significantly across locations. A SKU that performs well in metro cities may have low traction in tier-2 or tier-3 regions, and stock-outs in high-demand areas can lead to lost revenue and decreased brand loyalty.

Brands often face gaps in SKU coverage, either due to limited distribution in certain geographies or insufficient visibility into platform-specific stock. For example, METRO and DMart Ready may show consistent SKU availability in urban hubs, while Reliance B2B and Jumbotail exhibit regional variations due to logistic constraints or demand fluctuations.

To address this, brands leverage FMCG Stock availability & Assortment Intelligence Scraping to monitor SKU presence, stock levels, and assortment completeness across multiple regions. Real-time data allows identification of underperforming regions, missing SKUs, or delayed replenishments. It also provides insights into regional trends, enabling brands to adjust procurement, distribution, and promotional strategies accordingly.

By continuously analyzing assortment and regional availability, FMCG brands can reduce stock-outs, optimize distribution networks, and improve customer satisfaction. This approach ensures that top-performing SKUs reach target regions efficiently while underperforming or slow-moving products are managed strategically, balancing inventory investment with market demand.

Identifying Assortment Gaps

SKU-level data also highlights areas where brands lack visibility. FMCG Assortment Gap analysis via scraping ensures retailers maintain a comprehensive product range.

Assortment Gap Trends (2020–2026)
Year Avg Missing SKUs (%) Assortment Coverage (%)
2020 18% 82%
2022 14% 86%
2024 10% 90%
2026 6% 94%

Assortment gap analysis identifies underrepresented categories and helps brands allocate resources to cover high-demand SKUs. This data-driven approach ensures consistent product availability across platforms, reducing missed sales opportunities. Monitoring gaps also guides new SKU introductions to strengthen overall portfolio performance.

Enhancing Pricing Intelligence

Accurate pricing information is vital for competitive advantage. FMCG Price Intelligence with Scraping allows brands to monitor competitor pricing, identify trends, and optimize their strategies.

Pricing Trends (2020–2026)
Year Avg Price Updates Pricing Accuracy (%)
2020 Weekly 78
2022 Bi-Weekly 82
2024 Daily 87
2026 Real-Time 92

Tracking prices across METRO, DMart Ready, Jumbotail, and Reliance B2B ensures timely adjustments, promotions, and dynamic pricing strategies. Brands can reduce margin erosion, improve competitiveness, and respond quickly to market shifts.

Analyzing SKU-Level Pricing for FMCG

Detailed pricing analytics enable granular decision-making. SKU-Level Pricing Analysis for FMCG helps identify profitable SKUs, seasonal variations, and demand elasticity.

SKU-Level Pricing Insights (2020–2026)
Year SKUs Analyzed Price Volatility (%)
2020 500 8
2022 1,000 6
2024 1,500 4
2026 2,000 3

By analyzing SKU-level data, brands optimize pricing for top-selling products and adjust margins for slow-moving items. This leads to improved profitability, better stock rotation, and enhanced competitiveness across key B2B platforms.

Actowiz Solutions empowers FMCG brands to leverage FMCG Stock availability & Assortment Intelligence Scraping with high accuracy and scalability. Our solutions enable real-time tracking of stock, pricing, and assortment across METRO, DMart Ready, Jumbotail, and Reliance B2B. Brands can proactively manage inventory, detect gaps, and optimize pricing strategies, ensuring maximum revenue and operational efficiency.

Conclusion

Real-time stock and assortment intelligence is crucial for FMCG brands to stay competitive across B2B platforms. Using advanced scraping and analytics, organizations gain insights that drive timely inventory replenishment, competitive pricing, and improved SKU coverage. Actowiz Solutions combines Web Crawling service, Web Data Mining, and Real-time Dashboards to deliver actionable intelligence for smarter decision-making.

Partner with Actowiz Solutions today to monitor FMCG stock availability, optimize assortments, and drive growth across METRO, DMart Ready, Jumbotail, and Reliance B2B.

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.
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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

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