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GeoIp2\Model\City Object ( [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] => 216.73.216.213 [prefix_len] => 22 ) ) [continent:protected] => GeoIp2\Record\Continent Object ( [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 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => code [1] => geonameId [2] => names ) ) [country: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 ) ) [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] => 216.73.216.213 [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 )
Field-Level Fulfillment Insights Using Zepto & Instamart APIs for Quick Commerce Operations to analyze delivery efficiency, stock availability, and field-level performance.
Note: You’ll receive it via email shortly after submitting the form.
Quick commerce has transformed customer expectations by demanding ultra-fast deliveries, precise slot availability, and real-time fulfillment visibility. Brands operating in this ecosystem require granular, field-level intelligence to optimize supply chains and delivery performance. This case study highlights how Actowiz Solutions enabled a data-driven transformation by delivering Field-Level Fulfillment Insights Using Zepto & Instamart APIs to support smarter operational decisions.
By leveraging API-based data extraction, our solution delivered accurate insights across delivery slots, fulfillment status, and serviceability at a hyperlocal level. The client gained actionable intelligence on product availability, delivery timelines, and pincode-wise fulfillment behavior. Actowiz Solutions ensured seamless data reliability, scalability, and real-time monitoring—empowering the client to stay competitive in the fast-moving quick commerce market. The outcome was enhanced delivery efficiency, improved customer satisfaction, and optimized last-mile logistics operations.
The client is a fast-growing analytics-driven enterprise operating in the retail intelligence and supply chain optimization domain. Serving enterprise brands, D2C players, and logistics teams, the company specializes in optimizing fulfillment workflows and demand forecasting for quick commerce platforms. Their target market includes retail decision-makers, operations heads, and category managers seeking real-time insights into hyperlocal delivery performance.
To support their data products, the client needed to Scrape Field-Level Fulfillment Data From Zepto & Instamart API to capture real-time delivery availability, slot timings, and location-specific fulfillment behavior. Their goal was to offer predictive insights that could improve inventory placement, reduce delivery delays, and strengthen competitive benchmarking. Accuracy, scalability, and compliance were key requirements for their data acquisition strategy.
The client aimed to overcome fragmented data access and move toward real-time intelligence. Their objective was to create a unified fulfillment monitoring system that delivered accurate insights across multiple geographies. This required overcoming technical limitations, ensuring data consistency, and maintaining platform compliance while capturing large-scale fulfillment data efficiently.
We designed a robust architecture leveraging Zepto Instamart API for delivery time and slot monitoring, ensuring real-time access to fulfillment parameters. The system continuously tracked delivery slots, ETA variations, and serviceability windows at a granular level. This allowed the client to analyze demand-supply gaps and adjust logistics strategies dynamically.
Actowiz Solutions implemented a scalable, cloud-ready data extraction pipeline capable of handling high-frequency API calls without performance degradation. Intelligent request throttling, retry mechanisms, and structured data normalization ensured reliability. The framework supported seamless integration with the client’s analytics dashboards, enabling actionable insights with minimal latency.
Managing strict API rate limits was critical. We implemented adaptive throttling and queue-based execution to ensure uninterrupted data flow while extracting Fulfillment and delivery Data insights Using Zepto and Instamart API.
Delivery slots and fulfillment parameters varied by location. Our engineers built flexible parsers that automatically adapted to schema changes without data loss.
To maintain data integrity, Actowiz Solutions introduced validation layers, cross-checking slot availability and delivery timelines across multiple API responses. This ensured consistency and high accuracy in reporting.
Actowiz Solutions delivered a comprehensive fulfillment intelligence solution focused on extracting Pincode-Level Delivery Data from Zepto & Instamart. Our API-driven framework captured delivery slots, fulfillment availability, and serviceability status across thousands of locations in real time.
The system provided structured datasets optimized for analytics platforms, enabling the client to identify delivery bottlenecks, peak demand windows, and underperforming zones. Automated scheduling ensured continuous data updates without manual intervention. With secure data handling, scalable architecture, and compliance-ready extraction, the client gained a competitive advantage in quick commerce analytics. The solution empowered them to offer high-value insights to their customers while reducing operational inefficiencies.
By leveraging Web Scraping Quick Commerce Data, the client achieved enhanced visibility into hyperlocal fulfillment patterns. Real-time monitoring enabled proactive decision-making, reduced delivery delays, and improved customer experience. The analytics-driven insights strengthened their market positioning and supported scalable growth across multiple regions.
“Actowiz Solutions delivered exactly what we needed—accurate, real-time fulfillment intelligence at scale. Their API-driven approach transformed how we monitor delivery performance across Zepto and Instamart.”
— Head of Data & Analytics, Quick Commerce Intelligence Firm
Actowiz Solutions specializes in Field-Level Fulfillment Insights Using Zepto & Instamart APIs, delivering enterprise-grade intelligence for quick commerce.
Our scalable API frameworks, automation tools, and analytics-ready datasets ensure reliability and performance.
From consultation to deployment and ongoing support, we provide a seamless data extraction experience tailored to business needs.
This case study demonstrates how Actowiz Solutions empowered a client with actionable fulfillment intelligence using advanced data extraction methodologies. By leveraging Web scraping API, Custom Datasets, and an instant data scraper, the client gained real-time visibility into hyperlocal delivery performance. The result was improved operational efficiency, better forecasting, and stronger competitive insights.
Ready to transform your quick commerce analytics? Partner with Actowiz Solutions today.
We extract delivery slots, ETA, serviceability status, product availability, and pincode-level fulfillment data in real time.
Yes. Our API-based frameworks are designed for high-frequency, large-scale data extraction without performance issues.
Our solutions ensure up to 98% accuracy through validation layers, adaptive parsers, and real-time monitoring mechanisms.
Absolutely. We deliver structured, analytics-ready datasets compatible with BI tools, dashboards, and data warehouses.
Yes. Actowiz Solutions follows ethical data practices, secure architectures, and compliance-first methodologies for all extraction projects.
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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Discover how a Scraping API for Lowes Product Data helps businesses track inventory, monitor pricing, and make real-time data-driven retail decisions.
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Seller Competition & Pricing Intelligence on Amazon India and Snapdeal helps brands optimize pricing, track rivals, and make smarter marketplace decisions.
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Discover how extracting GrabTaxi fare and availability data improved ride-hailing price transparency, enabling smarter pricing decisions and better rider trust.
Scraping Booking.com hotel prices in France helps brands track real-time rates across 700+ hotels to optimize pricing strategies and stay competitive.
Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.
Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.
Detailed research on GrabMart’s top-selling products, highlighting leading categories and SKUs across Singapore, Malaysia, and Thailand for market insights
City-Wise Demand & Delivery Time Analysis for NIC Ice Cream reveals how data improves stock planning, delivery speed, and customer satisfaction across markets.
Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.
Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations