Real-Time Market Signals You Can Act On
E-Commerce & Retail Prices change by the minute, catalogs change by the hour, and promotions change by the season. Pricelumic turns the messy public web into clean, decision-ready signals for merchandising, pricing, and growth teams.
What retail teams are struggling with right now
Everything you need to succeed with custom data extraction
Promo Blind Spots
Competitors run flash discounts you notice 48 hours late.
Assortment Gaps
You’re missing key variants (size/color/pack) that quietly drive share.
MAP Risk
Resellers erode price floors; brand teams discover it after customers do.
Review Drift
Star ratings move, attributes change—your PDP copy doesn’t.
Ops Noise
Screenshots and manual checks don’t scale; data is stale before it’s shared.
The Pricelumic Difference In Practice
We don’t sell “more data.” We deliver fewer, faster decisions.
Promo Blind Spots
Competitors run flash discounts you notice 48 hours late.
Assortment Gaps
You’re missing key variants (size/color/pack) that quietly drive share.
MAP Risk
Resellers erode price floors; brand teams discover it after customers do.
Review Drift
Star ratings move, attributes change—your PDP copy doesn’t.
Ops Noise
Screenshots and manual checks don’t scale; data is stale before it’s shared.
Three Real Scenarios
01Margin Rescue During a Weekend Promo
Detect
Rival drops price on 127 SKUs between Fri 8–11pm.
Decide
Auto-flag SKUs with >5% demand elasticity and low stock risk.
Act
Push a limited-window match only on those SKUs; keep others stable.
Result
Controlled promo exposure; margin preserved without ceding basket size.
02Assortment Expansion Without Guesswork
Detect
“Large pack” variant rises from 8% → 14% share in category.
Decide
Vendor brief auto-generated with images, attributes, and price band.
Act
Launch test in 2 markets; watch share and review sentiment weekly.
Result
+2.1 pts category share in 30 days,
03Margin Rescue During a Weekend Promo
Detect
Rival drops price on 127 SKUs between Fri 8–11pm.
Decide
Auto-flag SKUs with >5% demand elasticity and low stock risk.
Act
Push a limited-window match only on those SKUs; keep others stable.
Result
Controlled promo exposure; margin preserved without ceding basket size.
Data
We
Capture
Prices & strikethroughs
(list, sale, coupon, bundle math)
Stock & availability
(in/out, low-stock flags, delivery ETA)
Variants & attributes
(size, color, pack, material, GTIN/MPN/ASIN)
Seller & marketplace signals
(authorized vs. unauthorized)
Reviews & Q&A
(themes, defects, shipping issues, competitive mentions)
Promo mechanics
(BOGO, tiered discounts, codes, banners, thresholds)
Page experience
(image count, badges, above-the-fold elements)
Outputs Your Teams Actually Use
Price-Change Digest
CSV/API + Slack summary with top actions. (hourly)
Assortment Report
Missing variants + expected lift. (Weekly)
MAP Breach Queue (live)
Evidence pack + contact workflow. (Live)
Sentiment Radar
Top rising complaints; copy fixes for PDPs.(Weekly)
How It Fits Your Stack
Delivery
API, S3/Google Cloud buckets, or secure CSV to email for smaller teams.
BI Ready
SSchemas pre-mapped for Power BI / Looker / Tableau.
Automation Hooks
Webhooks to trigger price rules, promo flags, or Jira tickets.
Quality
Multi-layer QA (schema, anomaly, duplicate, freshness) before delivery.
Guardrails & Compliance
We collect publicly available information, respect robots signals where applicable, throttle responsibly, and honor takedown requests. No login walls, no PII harvesting, no gray areas.
Evidence of Impact
-32%
time-to-decision for price updates during promos
-18%
PDP conversion after review-theme fixes on top 50 SKUs
-79%
MAP closures within 72 hours using evidence packets
See your category right now→ Run a free 50-SKU scan.
Show me price deltas, assortment gaps, and MAP breaches for my top 100 SKUs.