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Navratri Mega Sale Price Tracking

Introduction

In today’s competitive digital grocery ecosystem, consistent product representation across platforms is critical for accurate pricing, assortment planning, and consumer trust. Grocery platforms often list the same product in multiple pack sizes, weights, or formats, making comparisons complex and error-prone. This case study explores how Actowiz Solutions successfully implemented Pack-Size & Variant Mapping to standardize product variants across seven leading grocery platforms.

By unifying disparate product listings into a normalized structure, Actowiz enabled seamless comparison of SKUs, pricing intelligence, and assortment visibility. The project focused on resolving inconsistencies in unit measurements, naming conventions, and variant formats across platforms like Amazon Fresh, BigBasket, Instacart, Walmart Grocery, Flipkart Grocery, Zepto, and Swiggy Instamart. The result was a robust, scalable data framework that empowered the client to achieve clarity, consistency, and actionable insights across the grocery commerce landscape.

About the Client

Navratri Mega Sale Price Tracking

The client is a global retail intelligence and analytics firm specializing in grocery, FMCG, and quick commerce insights. Their solutions are used by brands, category managers, and pricing teams to analyze market trends, competitive positioning, and assortment strategies. Operating at enterprise scale, the client aggregates data from multiple grocery platforms to deliver real-time intelligence to retailers and manufacturers.

A major challenge in their analytics offering was Mapping product variants across multiple grocery platforms while maintaining consistency and accuracy. With platforms like Amazon Fresh, BigBasket, Instacart, Walmart Grocery, Flipkart Grocery, Zepto, and Swiggy Instamart listing products differently, the client needed a standardized system to normalize pack sizes, weights, and variants. Their target market demanded reliable SKU-level insights to support pricing optimization, promotion analysis, and product benchmarking across regions and channels.

Challenges & Objectives

Challenges
  • Data inconsistency across platformsEach
  • grocery platform followed unique naming conventions for pack sizes, units, and variants, complicating cross-platform analysis.

  • Variant duplication and mismatch
  • The same SKU appeared as multiple variants due to differences in weight, quantity, or bundle descriptions.

  • Scalability issues
  • Manual normalization was not feasible across millions of SKUs and frequent catalog updates.

  • Accuracy in comparisons
  • Lack of Cross-platform pack size matching for grocery products led to flawed price and assortment insights.

Objectives
  • Build a unified product-mapping framework
  • The client aimed to standardize SKUs across Amazon Fresh, BigBasket, Instacart, Walmart Grocery, Flipkart Grocery, Zepto, and Swiggy Instamart.

  • Enable accurate price and pack-size comparison
  • Ensure that equivalent products were matched correctly across platforms.

  • Automate variant normalization at scale
  • Reduce manual effort and improve processing speed.

  • Enhance analytics reliability
  • Deliver trusted, SKU-level intelligence to enterprise customers.

Our Strategic Approach

Intelligent Normalization Engine

To enable Price & Pack-size comparison From grocery platforms, Actowiz Solutions designed an intelligent normalization engine that converted all product sizes into standardized units (grams, liters, counts). This engine analyzed textual patterns, numerical attributes, and packaging indicators to accurately align equivalent variants. Advanced rule-based logic ensured that single units, multipacks, and bundled offerings were correctly differentiated while still remaining comparable.

Multi-Platform Mapping Framework

Our team built a scalable mapping framework that ingested data from Amazon Fresh, BigBasket, Instacart, Walmart Grocery, Flipkart Grocery, Zepto, and Swiggy Instamart. Machine-assisted clustering grouped similar SKUs, while validation rules prevented incorrect matches. This hybrid approach combined automation with accuracy, ensuring that variant relationships remained consistent even as catalogs changed dynamically.

Technical Roadblocks

Inconsistent Unit Representation

Different platforms represented sizes as “500g,” “0.5 kg,” or “Pack of 2 x 250g.” To address this, Actowiz implemented standardized conversion logic during Real-time product size & variant Data extraction, ensuring all units aligned to a common base measurement.

Dynamic Product Title Structures

Product titles frequently changed due to promotions or platform updates. We introduced adaptive parsers that dynamically identified size, quantity, and variant signals without relying on static patterns.

High Data Velocity

With frequent catalog updates across seven platforms, maintaining accuracy was challenging. Our pipeline supported near-real-time processing with automated re-mapping, ensuring variant relationships stayed current and reliable.

Our Solutions

Actowiz Solutions delivered a comprehensive Pack-Size & Variant Mapping solution that unified product variants across seven leading grocery platforms into a single, normalized dataset. Our solution leveraged automation, intelligent matching logic, and scalable architecture to resolve discrepancies in pack size, unit measurement, and variant representation.

The system accurately mapped equivalent SKUs across Amazon Fresh, BigBasket, Instacart, Walmart Grocery, Flipkart Grocery, Zepto, and Swiggy Instamart. By converting all sizes into standardized units and linking variants intelligently, the client gained clean, analytics-ready datasets. This eliminated duplicate entries, reduced mismatches, and significantly improved comparison accuracy. The solution seamlessly integrated into the client’s analytics stack, enabling faster insights, improved pricing strategies, and more reliable assortment intelligence.

Results & Key Metrics

Key Outcomes
  • 95%+ accuracy in Product Matching across platforms
  • 70% reduction in duplicate or mismatched SKUs
  • 4x faster variant normalization compared to manual methods
  • Improved price comparison accuracy across all mapped products
Business Impact

The client gained a unified view of product variants across seven platforms, enabling consistent pricing intelligence and assortment analysis. Retail and brand teams could now confidently compare like-for-like SKUs, identify pricing gaps, and monitor competitive positioning. The improved data quality enhanced customer trust and strengthened the client’s analytics offerings, driving higher adoption and long-term value.

Client Feedback

“Actowiz Solutions transformed how we manage product variants across grocery platforms. Their mapping framework brought clarity and consistency to millions of SKUs, enabling accurate comparisons and better insights for our clients.”

— Director of Product Analytics, Global Retail Intelligence Firm

Why Partner with Actowiz Solutions?

Proven Data Expertise

We specialize in Grocery & Supermarket Data Scraping, delivering clean, reliable datasets at scale.

Advanced Technology Stack

Our automation-driven frameworks handle complex variant logic, unit normalization, and cross-platform mapping seamlessly.

Scalable & Custom Solutions

From regional pilots to enterprise-scale deployments, our solutions adapt to evolving business needs.

Dedicated Support

Actowiz Solutions provides end-to-end support, ensuring long-term accuracy, scalability, and performance.

Conclusion

This case study demonstrates how Actowiz Solutions helped standardize product variants across seven major grocery platforms using advanced data engineering techniques. By leveraging Web scraping API, Custom Datasets, and an instant data scraper, the client achieved accurate variant mapping, reliable comparisons, and scalable analytics. The solution eliminated inconsistencies, improved decision-making, and delivered measurable business impact.

Looking to standardize product data across platforms? Partner with Actowiz Solutions to unlock consistent, actionable grocery intelligence.

FAQs

1. What is pack-size and variant mapping in grocery data?

Pack-size and variant mapping involves identifying and standardizing different representations of the same product across platforms, ensuring accurate comparison and analytics.

2. Which grocery platforms were included in this project?

The project covered Amazon Fresh, BigBasket, Instacart, Walmart Grocery, Flipkart Grocery, Zepto, and Swiggy Instamart.

3. How does Actowiz ensure accurate SKU matching?

We use unit normalization, intelligent clustering, and validation rules to match equivalent SKUs while avoiding incorrect associations.

4. Can the solution scale to millions of products?

Yes. Our architecture is designed for enterprise-scale data volumes with automated re-mapping and real-time updates.

5. How can businesses use this mapped data?

Mapped data supports pricing intelligence, assortment optimization, competitive benchmarking, and market trend analysis.

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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