Unique Capability

99% Accuracy SLA

AI Product Matching & SKU Mapping
for US Catalogs

Without accurate SKU mapping, every pricing decision is built on sand. Our 5-signal AI matches your products across 500+ US marketplaces — Amazon, Walmart, Target, Costco — with 99% accuracy guaranteed by SLA. Trusted by 4,000+ American brands.

Match 100 Products Free → See How Matching Works

✓ 99% accuracy SLA ✓ 5 AI matching signals ✓ 500+ platforms

● Live — AI Product Matching Engine

99.2%

Match Rate

SLA guaranteed

12,847

Products Matched

↑ +342 today

0.8%

Missed Matches

Below 1% SLA

Your Product	Platform A	Platform B	Type	Conf.
Wireless Headphone Pro	Matched ✓	Matched ✓	Exact	99%
Smart Speaker Mini	Matched ✓	No listing	Exact	97%
Fitness Band Ultra	Similar →	Matched ✓	Similar	91%

Wrong Matches = Wrong Decisions. Every Single Time.

If your pricing tool matches a 64GB variant to a 256GB model, every price comparison built on that data is misleading. If it misses a competitor listing entirely, you have a blind spot. Product matching accuracy is not a feature — it is the foundation everything else stands on.

The Challenge

Why Product Matching is Harder Than You Think

Every industry, platform, and product category creates unique matching challenges. Here is what our AI handles that simpler tools cannot.

One Problem, Many Types

Similarity Varies by Industry

Messy, Non-Standard Data

Image Variance

Universal barcode matching when identifiers exist

Exact Match

Same brand, model, specs

Similar Match

Same category, comparable specs

Substitute

Functional alternative

Private Label

Store-brand equivalent

Variant Linking

Size, color, pack mapped

Cross-Market

Same product, different countries

Most tools only handle exact matches. We handle all six types automatically.

Product matching goes far beyond finding identical SKUs

Genuine competitive intelligence demands six distinct match types. From exact duplicates to functional substitutes and store-brand alternatives, each type unlocks different strategic value.

Exact matches power direct price-to-price comparison
Similar and substitute matches reveal full competitive pressure
Private-label detection tracks store-brand market erosion
Variant linking enables true unit-price benchmarking
Cross-market matching fuels global pricing strategy

Jewelry

Design, aesthetics, visual style

Image AI Critical

Furniture

Set coordination, design harmony

NLP + Specs Key

Electronics

CPU, RAM, screen, storage

Specs Primary

Grocery / FMCG

Unit price, pack size, private label

Unit Norm + PL

Fashion

Color, material, seasonal

Image + NLP

Pharma

Generic vs branded, dosage

Specs + Brand

What counts as "similar" changes by category

In jewelry, visual aesthetics and design style determine similarity. In furniture, coordinated sets matter more than individual specs. In electronics, technical specifications are the deciding factor. Every industry needs a different combination of matching signals.

Jewelry: design, aesthetics, and visual style matching
Furniture: set coordination and contextual grouping
Electronics: processor, RAM, storage — spec-level precision
Grocery: unit price normalization and private-label equivalents
Fashion: color variants, seasonal items, fast-fashion lookalikes

Same product, three completely different listings:

PLATFORM A

"Premium Wireless NC Headphones BT 5.3 Black Edition 40hr"

Over-stuffed with marketing keywords. Key specs buried.

PLATFORM B

"Headphone Pro - BLK"

Minimal. Abbreviations. Missing brand name entirely.

PLATFORM C

"Pro Wireless Headphone (Noise Cancelling, 40hr Battery)"

Different word order. Different emphasis. Same product.

▼ Our 5-Signal AI

All three identified as SAME PRODUCT with 99% confidence

Product data across platforms is messy and inconsistent

Every retailer describes products differently. Titles get stuffed with marketing keywords, abbreviations vary, key specs get buried or omitted entirely. Brand names appear in different positions or are missing altogether. Our AI cuts through this noise using multiple signals beyond text.

Marketing-heavy titles obscure actual product identity
Missing brand names and inconsistent abbreviations
Size charts and attribute formats vary across retailers
Same product described in completely different word orders
Multi-signal AI resolves ambiguity text-only tools cannot

Same product photographed three different ways:

Studio Shot

White background, front view

Lifestyle Shot

Warm lighting, angled view

Model Shot

Person wearing, side view

Visual AI identifies the product beyond surface-level differences

Different backgrounds, angles, lighting conditions, and orientations make the same product appear visually different. Our computer vision extracts the underlying product features — shape, color, texture, branding elements — to make accurate matches regardless of photography style.

Images of the same product look different everywhere

Platform A uses a clean studio shot on white. Platform B shows a lifestyle image with warm lighting. Platform C features a model wearing the product. Different poses, backgrounds, lighting, and orientations make visually identical products appear very different to basic image comparison.

White background vs lifestyle vs model photography
Different angles: front, side, angled, overhead shots
Varied lighting conditions and color temperatures
Cropping differences and resolution variations
Our visual AI extracts product features beyond surface appearance

How It Works

Five AI Signals Combined for 99% Accuracy

Text-only matching fails when sellers write different titles for identical products. Our AI cross-validates using five independent signals — each one catches what others miss.

UPC / EAN / GTIN

Universal barcode matching when identifiers exist. Instant, definitive match for products with standard codes.

Visual Image AI

Computer vision compares product images across listings. Catches matches even when titles are completely different.

Title and Description NLP

Natural language processing understands meaning behind different phrasings. Works across 40+ languages.

Technical Specs

Compares product attributes — dimensions, weight, capacity, material — for spec-level verification.

Brand Verification

Validates brand identity, model numbers, and manufacturer data to prevent cross-brand false positives.

99.2%

Match Accuracy

Under 1%

Missed Matches

Under 0.5%

False Positives

Full

Transparency Reports

Match Types

Four Types of Matches — All Automated

Exact Match

Identical product on a different platform. Same brand, same model, same specifications. Highest confidence. Powers price comparison and MAP monitoring.

Similar Match

Same category, comparable specs, different brand or model. Enables competitive benchmarking when exact matches are unavailable.

Substitute Match

Functionally equivalent product that consumers consider as an alternative. Critical for understanding competitive pressure beyond direct matching.

Private Label Detection

Identifies retailer store-brand equivalents of your branded products. Essential for CPG brands tracking private-label price erosion.

Variant and Pack Size Linking

Maps size variants, color options, multi-packs, and bundle configurations to their parent product. Enables true unit-price comparison across different pack sizes.

Cross-Market Matching

Same product identified across different country marketplaces despite localized titles, currencies, and language differences. Powers global pricing strategy.

Your Product	Platform A	Platform B	Platform C	Platform D	Match Type	Confidence	Status
Wireless Headphone Pro	HD-WH1000 ✓	WH Pro BT ✓	Pro Wireless HP ✓	Headphone-Pro ✓	Exact	99%	✓ Verified
Smart Speaker Mini	Mini Speaker AI ✓	—	SmartSpk Mini ✓	AI Speaker S ✓	Exact	97%	✓ Verified
Fitness Band Ultra	FitBand Pro X ~	Ultra Track Band ~	—	Sport Band Ultra ~	Similar	91%	Review
Organic Face Cream 50ml	Store Own Cream !	—	Retailer Cream 50ml !	—	Private Label	88%	Flagged

Your Product

Platform A

Platform B

Platform C

Platform D

Match Type

Confidence

Status

Wireless Headphone Pro

HD-WH1000 ✓

WH Pro BT ✓

Pro Wireless HP ✓

Headphone-Pro ✓

Exact

99%

✓ Verified

Smart Speaker Mini

Mini Speaker AI ✓

—

SmartSpk Mini ✓

AI Speaker S ✓

Exact

97%

✓ Verified

Fitness Band Ultra

FitBand Pro X ~

Ultra Track Band ~

—

Sport Band Ultra ~

Similar

91%

Review

Organic Face Cream 50ml

Store Own Cream !

—

Retailer Cream 50ml !

—

Private Label

88%

Flagged

FAQ

Product Matching — Your Questions

Why is product matching so important for pricing intelligence?

Product matching is the foundation of all competitive intelligence. If you compare your product against the wrong competitor listing, every pricing decision built on that data is flawed. Accurate matching ensures your price comparisons, MAP monitoring, and competitive analysis are reliable. Without 99% matching accuracy, even the best pricing tools produce misleading recommendations.

What is your matching accuracy and how is it guaranteed?

99% accuracy guaranteed by SLA. Our 5-signal AI combines UPC barcodes, product images (computer vision), title and description NLP, technical specifications, and brand verification. Each signal catches what others miss — for instance, image AI identifies matches even when titles are completely different across platforms.

Can you match products without UPC or barcode?

Yes — approximately 40% of e-commerce products lack universal identifiers. When UPC is unavailable, our AI relies on the remaining four signals: visual image comparison, NLP title analysis, specification matching, and brand verification. This multi-signal approach maintains high accuracy even for unbranded or private-label products.

What types of matches do you support?

Five types: exact matches (identical product, different platform), similar matches (comparable products, different brand), substitute matches (functional alternatives consumers consider), private-label detection (retailer store-brand equivalents), and variant/pack-size linking (different sizes and bundles of the same product).

How many platforms can you match across?

500+ platforms globally including all major marketplaces (20+ country-specific versions), DTC sites built on Shopify, WooCommerce, or custom platforms, and any public e-commerce website. New sites can be added within 3-5 business days.

How long does initial matching take?

Bulk catalog matching for up to 10,000 products typically completes within 24-48 hours. After initial matching, ongoing monitoring detects new competitor products, delistings, and changes automatically.

Is there a free trial?

Yes — match 100 of your actual products across 3 platforms completely free. See exact accuracy, confidence scores, and match types for your specific catalog before any commitment. No credit card required.

Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

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!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner

4.8/5 Average Rating

50+ Video Testimonials

92% Client Retention

50+ Countries Served

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.