Electronics & Tech

Your listing says "16GB RAM, 512GB SSD." Your customer typed "laptop for video editing under $1500."

Beam transforms raw spec sheets into buyer-ready knowledge — use-cases, compatibility, performance context — so every search finds the right device, not just the right datasheet.

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RAW CATALOG DATA
ThinkPad X1 Carbon laptop product photo
title:ThinkPad X1 Carbon Gen 11
category:laptops
ram:16GB
use-case:null
good-for:null
AI-ENRICHED KNOWLEDGE
ThinkPad X1 Carbon — enriched
title:Lenovo ThinkPad X1 Carbon Gen 11
category:Laptops > Ultrabooks > Business
use-case:Software development, business travel, light video editing
good-for:Developers, remote workers, frequent flyers
comparison:vs. MacBook Air M3, Dell XPS 14, HP EliteBook

Enrichment

What Beam adds for Electronics & Tech

Three layers of AI analysis turn every listing into a rich knowledge node — structured, contextual, and discoverable.

Layer 01

Spec Intelligence

Beam normalizes every spec into structured, comparable attributes — no more guessing whether "16GB LPDDR5" and "16 GB RAM" are the same thing.

CPU: benchmarked tier (entry, mid, pro, workstation)
Storage: speed class (NVMe Gen 4, SATA SSD, eMMC)
Display: use-case grade (color-accurate, high-refresh, basic)
Battery: real-world estimate, not just mAh
Layer 02

Use-Case Mapping

Beam figures out what a device is actually good for — gaming, content creation, office work, school — so buyers search by need, not by benchmark.

"Good for video editing" → GPU + RAM + display combo
"College laptop" → portable, long battery, budget-friendly
"Home office setup" → webcam quality, mic, display size
"Creative professional" → color accuracy, CPU power, ports
Layer 03

Compatibility & Comparison

Beam maps what works with what — chargers, docks, accessories, ecosystems — and surfaces meaningful alternatives shoppers are already comparing.

Compatible docks: Thunderbolt 4, USB-C hubs
Works with: external GPUs, dual 4K monitors
Comparable to: MacBook Pro 14", Dell XPS 15
Ecosystem: Windows, Linux-friendly, enterprise MDM

Search

Same query. Wildly different results.

See what happens when search understands intent, not just keywords.

good laptop for a college student who does some gaming
traditional-search.com
Keyword Matching

Dell Laptop 15.6" i5

Generic result, no performance context

Keyword match

Gaming Mouse Pad — College Logo

Matched on "college" and "gaming" — wrong product

Keyword match

Student Desk Organizer

Matched on "student" — not a laptop

Keyword match
powered by Beam
Intent Understanding

ASUS TUF Gaming A15 — Ryzen 7, RTX 4060

Use-case: gaming + schoolwork, budget-friendly power

Intent match

Lenovo IdeaPad Gaming 3 — 16GB, 512GB SSD

Profile: student-friendly price, capable GPU, portable enough

Context match

Acer Nitro 5 — 144Hz Display, RTX 4050

Balance: long battery for lectures, smooth gaming after class

Use-case match

Benefits

Why Electronics & Tech teams choose Beam

From enrichment to discovery, Beam solves the problems that keep your products invisible.

01

Spec Normalization at Scale

Ten vendors describe the same chip ten different ways. Beam standardizes every attribute — processor tier, RAM type, storage speed — so filters actually work and comparisons are apples-to-apples.

02

Natural-Language Search

Your buyer doesn't know they need "Ryzen 7 7840HS." They know they need "a fast laptop for Premiere Pro." Beam bridges the gap between human intent and product specs.

03

Compatibility Graph

"Will this monitor work with my MacBook?" Beam maps ports, protocols, and ecosystem compatibility so buyers find products that actually work together — before they hit checkout.

04

Cross-Sell Accessories

When someone buys a laptop, Beam knows they'll need a charger, a case, maybe a dock. Smart accessory pairing driven by compatibility data, not just "frequently bought together."

Make every spec searchable. Every use-case discoverable.

Join electronics retailers already using Beam to turn spec-sheet chaos into rich, AI-native product knowledge.

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