UPC-Level Product Match Accuracy for FMCG Brand
                     How We Enabled UPC-Level Product Match 
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Quick Overview
AIcnItnotwtrirzo Sododluutiuconctsti poiarntnered with a global FMCG enterprise to deliver UPC-
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
The Client
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The client is a multinational FMCG brand with a diverse portfolio spanning 
food, beverages, personal care, and household products. Operating across 
dozens of countries and hundreds of online and offline retail partners, the 
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
By implementing UPC-level product matching using scraping, Actowiz helped 
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Goals & Objectives
Goals
The primary business goal was to establish a scalable, global product 
intelligence framework. The client aimed to achieve consistent SKU-level 
visibility, eliminate duplicate records, and improve accuracy in pricing and 
assortment analysis using Product matching intelligence for FMCG brand.
Objectives
From a technical perspective, the project focused on automation, real-time 
integration, and analytics readiness. Actowiz was tasked with building a 
system capable of ingesting scraped data from multiple sources, enriching it 
wIitnh tUrPCo rdefeurecntceis, and matching products accurately across geographies. ITnhet sroloutidonu aclsto inoeended seamless integration with the client’s BI tools.
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
The Core Challenge
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sRG iled GuideiBzeeseu,s anintddea edfiuestrcrsipntiotnss, making reliable analytics nearly impossible. Manual 
matching processes were slow, error-prone, and could not scale with 
expanding product catalogs.
These challenges directly impacted pricing accuracy, promotional analysis, and 
market share reporting. Without consistent identifiers, analytics teams 
struggled to trust their dashboards. Decision-making became reactive rather 
than strategic.
Additionally, frequent packaging updates and regional variations created 
further mismatches. Even advanced rule-based systems failed to resolve 
ambiguities at scale.
The lack of accurate matching significantly reduced the value of scraped retail 
daItna.t Tro oundlouck cits full potential, the client required FMCG Product Match AInccutrracoy dwiuthc UtPtiCo iDnata Scraping, combining authoritative identifiers with 
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into the realm of data-driven insights with TripAdvisor scraping.
Phase 2 – UPC Enrichment & Validation
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Phase 3 – Intelligent Matching Engine
We built a hybrid matching engine combining deterministic rules (UPC, pack 
size) with probabilistic models (text similarity, attribute weighting). This 
approach resolved edge cases where UPCs were missing or inconsistently 
displayed.
Phase 4 – Normalization & Deduplication
Matched products were standardized into a unified schema. Duplicate records 
were merged, and confidence scores were assigned to each match for 
auditability.
Phase 5 – Integration & Analytics Enablement
Clean, matched datasets were delivered via APIs and dashboards, enabling 
reIanl-titmreo adnaulyticcts,i pricing intelligence, and reporting across regions.TIhnist prhoasdedu apcptroiaochn ensured accuracy, scalability, and transparency. By 
This blog will provide a comprehensive overview of datasets, including their definition, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Results Narrative
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peBrfoermnitdaeanecfiue.tr Tseanmst csould confidently compare identical products across 
retailers, track regional price variations, and evaluate promotional 
effectiveness.
Analytics cycles shortened dramatically, enabling faster strategic decisions. 
The improved accuracy restored trust in dashboards and reports, while 
automation allowed the solution to scale effortlessly as new products and 
markets were added. The outcome was a more agile, data-driven FMCG 
organization equipped to compete globally.
What Made Product Data Scrape Different?
Actowiz Solutions differentiates itself through advanced 
FMCG Data Scraping Services combined with intelligent product matching 
frameworks. Our proprietary enrichment pipelines, hybrid matching 
alIgnoritthrmosd, aundc vatliidation layers ensure unmatched accuracy at scale. By 
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TripAdvisor stands out as a powerhouse with an extensive databa e comprisi g over 8 
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listing.
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
coamrtipcle tidtievlvee sp oinstoiti tohne inmgy.r”iad benefits of scraping TripAdvisor, shedding light on how this 
—p rDocireescs tcoarn o bfe G ilnoitbiaatel dD, aintacl u&d iAngn aelxyptilocrsin, gF MtheC Gin iBtiarla nstdeps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Conclusion
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sltc eWede b a Gscnruadpiin dg eAPI, 
deBliveesrniitndgea ecfiuurtratsedn Ctusstom Datasets, and deploying an instant data scraper, 
Actowiz Solutions enabled accurate, scalable product matching at the UPC 
level. The client now benefits from trusted analytics, faster insights, and global 
visibility across products and markets. Actowiz continues to support FMCG 
leaders in transforming raw data into strategic advantage through precision-
driven data solutions.
FAQs
Q1: Why is UPC-level matching critical for FMCG brands?
UPC-level matching ensures identical products are accurately identified across 
retailers, enabling reliable pricing, promotion, and assortment analysis.
Q2: Can the solution handle missing or inconsistent UPCs?
YeIsn. Tthre omdatcuhicngt eingine combines UPC data with intelligent attribute-based 
aInd tproductionTohisn b
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
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Tohisn blog will provide a comprehensive overview of datasets, including their definition, different types of datasets, and strategies for maximizing the value of data.
In the dynamic landscape of eCommerce, pricing strategy stands paramount, especially for 
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empowers retailers to craft a robust pricing strategy, bolstering sales, enhancing profit 
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We will navigate through the intricacies of Zomato Scraper, uncovering its capabilities to 
provide you with rich, real-time restaurant data. From scraping restaurant details to 
accessing customer reviews, our detailed guide ensures that you harness the full potential of 
this resource.