Dynamic pricing decisions are only as good as the data powering them. We supply the structured data layer — real-time competitor prices, demand signals, inventory levels, and AI-generated price recommendations — so your dynamic pricing engine always acts on current market reality.
Dynamic pricing requires multiple data inputs working together. We supply all four in a single structured feed your engine can consume directly.
The most critical input for any dynamic pricing model. We supply real-time competitor prices — effective price after all discounts — on every matched SKU, across every channel you operate on.
Demand signals inform when to price up or down. We extract search rank changes, out-of-stock signals from competitors, review velocity, and wishlist/shortlist indicators as proxies for real-time demand.
Inventory level is a key input for markdown and clearance dynamic pricing. We track your stock levels and competitor stock availability across all channels — signalling urgency and scarcity.
Our AI layer combines competitor prices, demand signals, inventory data, your margin floor, and historical win rates to output an optimal price range and recommended price per SKU and time window.
Dynamic pricing needs and data sources vary significantly by vertical. We have vertical-specific modules for each major use case.
Flight prices change dozens of times per day. Hotel rates shift by demand zone and occupancy. We supply intraday competitor fare and rate data for airlines, hotels, and OTAs.
Retail prices change hourly during peak periods. Our 2-hour competitive price feed with demand signals powers dynamic pricing for marketplace sellers and D2C brands.
Surge pricing and menu price optimisation require demand signals tied to time of day and local events. We supply competitor menu pricing and demand proxies by city and time window.
Fuel pricing is highly competitive and geographically variable. We supply competitor forecourt pricing updated multiple times per day across all regions you operate in.
STR pricing is driven by local demand, seasonal patterns, and competitor availability. We supply Airbnb, Vrbo, and Booking.com competitor rate and availability data by market.
Medicine and diagnostics pricing is increasingly competitive. We supply price comparison data across pharmacy chains, online pharmacies, and diagnostic networks for dynamic pricing decisions.
A sample of the dynamic pricing data feed for a consumer electronics category on Amazon India — showing competitor prices, demand index, and AI-recommended price band.
| sku | our_price | comp_min | comp_avg | demand_index | comp_oos | ai_floor | ai_ceiling | recommended | timestamp |
|---|---|---|---|---|---|---|---|---|---|
| TWS-001 | ₹2,499 | ₹2,099 | ₹2,310 | HIGH (0.84) | 2 of 4 OOS | ₹2,099 | ₹2,599 | ₹2,349 | 2026-03-21 10:00 |
| SPK-003 | ₹4,999 | ₹4,799 | ₹4,920 | MEDIUM (0.52) | 0 of 3 OOS | ₹4,799 | ₹5,099 | ₹4,999 | 2026-03-21 10:00 |
| EAR-007 | ₹1,299 | ₹1,099 | ₹1,200 | HIGH (0.91) | 3 of 5 OOS | ₹1,199 | ₹1,499 | ₹1,399 | 2026-03-21 10:00 |
| CHG-002 | ₹799 | ₹699 | ₹770 | LOW (0.31) | 0 of 4 OOS | ₹699 | ₹799 | ₹739 | 2026-03-21 10:00 |
// demand_index is 0–1 normalised score derived from search rank movement and competitor OOS signals · ai_floor and ai_ceiling respect margin and MAP floors
Tell us your industry, product list, target channels, and required update frequency. We scope the data inputs needed and confirm feasibility within 24 hours.
We run a sample extraction covering your target SKUs and channels. You review competitor price accuracy, demand signal quality, and AI recommendation output.
Your dynamic pricing data feed goes live at your configured frequency — 15-minute, 2-hour, or daily updates depending on your vertical and pricing velocity.
API, webhook, Kafka topic, or file drop to S3. Custom schema available to match your pricing engine input format exactly.
Tell us your vertical and SKU list — we deliver a free sample dynamic pricing data feed within 48 hours. No commitment required.
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