Affiliate feed and platform integrations
Scheduled feed imports, matching and valid affiliate links across several networks.
Services
Track prices over time and spot drops that are real
We build price monitoring into catalogue and comparison software: every observed price is recorded, charted and compared against its own history, so a “drop” means the price really fell against what shoppers could pay before, not against a reference price someone typed into a feed.
When this service fits
- You run a comparison, deals or catalogue site and want price history on product pages.
- You want to show price drops without misleading “was” prices.
- You need to trigger alerts, posts or reports when a price moves.
- You monitor your own or your suppliers’ prices across channels you are allowed to read.
What you receive
- A price observation store: one point at the start, at each change, and after a gap, never on unchanged nights.
- Compaction of old points into monthly and yearly summaries, so history stays fast.
- Drop rules against the lowest observed price over a window, with minimum observation days.
- Product-page charts with honest wording, tables in the HTML, and range selection.
- Hooks for alerts, social posts and reports when a drop qualifies.
Scoped separately
- Collecting prices by scraping sites without permission.
- Real-time monitoring of competitors’ checkouts.
- Legal review of how you present prices and discounts in your market.
Observed price history and drops on two live sites
On the first night of price history on Cumpără cu AI, the import recorded one point for each of more than half a million shop listings. Each nightly import writes only real changes and returns after a gap. Points older than 13 months fold into monthly summaries.
A price drop compares today’s price with the lowest price observed in the 30 days before the fall began, never the highest and never the shop’s “old price”. It needs at least 8 days observed, a complete recent read of that shop, and no other listing already cheaper. Big falls must be seen by two imports. The same rules feed the price drops section, the red tags on cards, email alerts and social posts on Raftul copiilor.
How the work runs
- Sources and identity
Where prices come from and how a product is identified over time.
- Rules
What counts as a change, a gap, a drop and a suspicious value.
- Storage and compaction
History that stays fast after years of nightly imports.
- Display
Charts and sentences that say what the data shows and nothing more.
- Triggers
Alerts, posts or reports wired to the drop rules.
What affects cost and schedule
- The number of products and how often prices are read.
- How products are matched across sources.
- Display requirements: charts, ranges, several shops per product.
- What should happen on a drop: email, social, internal report.
Questions buyers ask
Why not use the feed’s “old price” to show discounts?
Because it is a claim, not an observation. Many European consumer rules measure a discount against the lowest price of the previous 30 days. Our rules compare against what was actually observed.
How do you handle bad data, such as a price of 1 lei?
Values outside sane bounds are not recorded, a reading older than the last one is ignored, and very large drops must be confirmed by a second import before they are shown.
Can shoppers be alerted?
Yes: Raftul copiilor’s alerts email a shopper once the observed price reaches the threshold they chose. See transactional email integrations.
Related services
Transactional email integrations
Alerts and notices triggered by events, with opt-in, queueing, unsubscribe and bounce handling.
Social media posting automation
Scheduled Facebook and Instagram posts generated from your catalogue, with safety checks.
E-commerce and catalogue websites
Search, filters, comparison and product pages that sell, with checkout scoped to your providers.
Define your monitoring rules
Tell us what you need in a few sentences. NeedAI Studio answers personally, in English or Romanian.