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GeoIp2\Model\City Object
(
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                            [zh-CN] => 哥伦布
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [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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                    [names] => Array
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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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                    [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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    [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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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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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] => 216.73.216.213
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
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                    [8] => isHostingProvider
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                    [11] => isPublicProxy
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
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                )

        )

    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => 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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    [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
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [4] => metroCode
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                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [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
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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
)
Navratri Mega Sale Price Tracking

Executive Summary

Frozen food brands like McCain FS face frequent Out-of-Stock (OOS) issues, inconsistent distributor supply, and incomplete SKU visibility across B2B procurement platforms. Actowiz Solutions developed a real-time scraping and monitoring system to track SKU availability, pack-size accuracy, OOS duration, distributor gaps, and assortment completeness across Udaan, Amazon Business, BigBasket B2B, JumboTail, Swiggy Minis, and Zomato Procurement.

The result: 34% reduction in OOS time, 21% improvement in SKU availability, and stronger distributor accountability.

Introduction

Key Challenges-01

The frozen food service industry relies on consistent availability of fast-moving SKUs. McCain FS products like French Fries, Aloo Tikki, Cheese Shots, and Smiles are widely used by QSRs, cloud kitchens, cafés, hotels, and institutional buyers.

But B2B platforms frequently show:

  • Out-of-stock items
  • Missing SKUs
  • Incorrect pack sizes
  • Distributor-level inconsistencies
  • City-wise assortment gaps

McCain FS partnered with Actowiz Solutions to gain real-time visibility across B2B procurement channels.

Client Background

McCain FS supplies frozen potato and snack products across India. Their business depends heavily on B2B marketplaces for daily HoReCa orders. They needed unified visibility across Udaan, Amazon Business, JumboTail, BigBasket B2B, Swiggy Minis, and Zomato Procurement.

Business Problem

A. Frequent OOS Spikes

Frozen SKUs went OOS for 12–70+ hours.

B. Distributor-Level Gaps

Mismatch in pack sizes, MOQ, and stock levels.

C. City-Wise Assortment Failures

Some cities listed full assortment; others showed only 2–3 SKUs.

D. Listing Accuracy Issues

Incorrect images, outdated SKUs, incomplete descriptions.

E. No Central Dashboard

No way to track real-time availability or compare platforms.

Why Frozen B2B Supply Chains Fail

  • Cold-chain failures
  • Distributor delays
  • Inconsistent replenishment cycles
  • Seller-level data mismatches
  • Temperature-controlled transport limitations

Real-time scraping became essential for visibility.

Why McCain FS Needed Real-Time Data

  • Daily monitoring of availability
  • Distributor accountability
  • SKU normalization across platforms
  • Listing accuracy validation
  • Predictive replenishment planning

Actowiz Solutions' Approach

Actowiz built a multi-layer scraping architecture:

  • High-frequency crawlers
  • SKU normalization engine
  • City-wise distributor mapping
  • Dashboard + API delivery

Scraping Architecture

Layer 1: High-Frequency Crawler Engine

Tracks availability, price, seller info, MOQ, pack size.

Layer 2: SKU Normalization

Unifies naming variations like:

  • McCain FF 6mm
  • McCain Straight Cut Fries 2.5kg
Layer 3: City-Wise Availability Mapping

Mapped 18+ cities and 120+ sellers.

Layer 4: Dashboard + API

Alerts for OOS, listing errors, MOQ changes, and delays.

Platforms Covered

  • Udaan
  • Amazon Business
  • BigBasket B2B
  • JumboTail
  • Swiggy Minis
  • Zomato Procurement

Monitoring Frequency

Platform Frequency
Udaan 30 min
Amazon Business 60 min
BigBasket B2B 90 min
JumboTail 45 min
Swiggy Minis 45 min
Zomato Procurement 60 min

Sample Data Tables

City-Wise Availability
SKU Pack Udaan Amazon BB B2B JumboTail Swiggy Zomato
Fries 6mm 2.5kg Available OOS Available Limited Available Available
Aloo Tikki 1.5kg Limited Available OOS Available OOS Available
Distributor Mapping
City Distributor Available SKUs OOS SKUs
Mumbai ColdChain Logistics 7 2
Delhi FrostHub 5 4
Assortment Comparison
Platform SKUs Listed Missing SKUs Pack Errors
Udaan 12 2 1
Amazon Business 9 4 3

Insights Delivered

  • OOS hotspots identified
  • Missing pack sizes fixed
  • Distributor gaps exposed
  • Listing inaccuracies corrected
  • Predictive replenishment enabled

Business Impact

A. 34% Reduction in OOS Duration

Faster replenishment & improved distributor coordination.

B. 21% Improvement in SKU Availability

Better assortment across platforms.

C. Stronger Distributor Accountability

Performance tracking enabled SLAs.

D. Improved Planning

Better inventory alignment for high-demand regions.

E. Enhanced Buyer Trust

Correct listings boosted visibility & repeat purchases.

Client Feedback

"Actowiz Solutions gave us complete visibility into our B2B platform performance. We reduced OOS time, improved listings, and supported HoReCa clients more efficiently."

— National Sales Head, McCain FS

Why Choose Actowiz Solutions

  • Expertise in B2B scraping
  • Real-time stock intelligence
  • SKU accuracy engine
  • Scalable globally
  • Dashboard & API support

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

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