Price intelligence, not just a dashboard

Price Monitoring Services in India for Amazon, Flipkart, and Beyond

We track competitor and marketplace prices across Amazon.in, Flipkart, Myntra, Meesho, and quick-commerce, then put an intelligence layer on top: product matching, repricing rules, and margin guardrails that tell your team what to change.

Galific is a data intelligence company. We connect the price signal to the margin decision, so you stay competitive without racing to the bottom. Every engagement starts with a free price benchmark.

Get a free price benchmark

A dashboard tells you the price. We tell you what to do about it.

Most price-monitoring tools hand you a feed of numbers and stop. That leaves your team to match products, spot what matters, and decide how to react. We do the monitoring and the decision layer, so the price signal turns into a margin-safe action.

Track every price that moves

Competitor prices, MAP violations, stock status, buy-box, and ratings across marketplaces, refreshed as often as your decisions need.

Match products correctly

Entity matching so you compare the same SKU, variant, and pack size, not lookalikes. Bad matches are what make most price data useless.

Act, do not just watch

Repricing rules, margin guardrails, and instant MAP-violation alerts that tell your team what to change, not just what happened.

Built around your margin

A price intelligence system shaped to your SKUs and your margin rules, not a rigid dashboard you have to bend your business around.

Built for Indian marketplaces

We cover Amazon.in, Flipkart, Myntra, Meesho, and Nykaa, plus quick-commerce apps like Blinkit, Zepto, and Swiggy Instamart, including festival and sale-window pricing, coupons, and lightning deals. Global SaaS tools treat India as one locale and miss this. We do not.

Why this matters in India now

India is the second-largest e-retail market with 280 to 300 million online shoppers (IBEF), and is on track to reach about 345 billion dollars by 2030. Quick-commerce alone hit 7 to 8 billion dollars in FY25 (IBEF). With Amazon and Flipkart holding over 60 percent of online retail (Actowiz), competitive pricing is no longer optional.

How we work

01

Free price benchmark

We snapshot how your priced products compare against competitors on your chosen marketplaces, so you see the value before committing.

02

Build the system

We set up matching, refresh cadence, repricing rules, and margin guardrails around your SKUs, and validate the data is accurate.

03

Monitor and act

Prices and alerts flow into your tools through APIs or direct feeds, so your team acts on current data, not last month's report.

Where price data turns into decisions

Price monitoring FAQs

General FAQs

Everything you need to know about the service and how it works. Can’t find an answer? Mail us at info@galific.com

  • What is e-commerce price monitoring and why does it matter in India? βŒ„
    Price monitoring tracks how your products and your competitors are priced across marketplaces, so you can stay competitive without giving away margin. It matters more in India every year: the e-commerce market is on track to reach about 345 billion dollars by 2030 (IBEF), and Amazon and Flipkart together hold over 60 percent of online retail (Actowiz), so a price you miss is a sale you lose.
  • What makes you different from a price-monitoring SaaS tool? βŒ„
    Most tools stop at a dashboard and leave you to act. We are a data intelligence company, so we build the monitoring and the action layer: product matching, repricing rules, margin guardrails, and alerts that tell your team what to change. The deliverable is a decision, not a chart. See our custom machine learning solutions and data extraction work.
  • Do you track Flipkart and quick-commerce, not just Amazon? βŒ„
    Yes. We cover Amazon.in, Flipkart, Myntra, Meesho, and Nykaa, plus quick-commerce apps like Blinkit, Zepto, and Swiggy Instamart. Global tools often treat India as one locale and miss these. India-specific depth, including festival and sale-window pricing, is the point.
  • How accurate is the data and how do you match products correctly? βŒ„
    Accuracy depends on matching the right products, so we use entity matching on titles, attributes, pack sizes, and identifiers rather than naive name matching. We run validation and change-detection checks on every refresh, because a wrong match is worse than no data.
  • Will automated price tracking start a price war that kills my margins? βŒ„
    No, if the rules are right. We set margin floors and guardrails so repricing never drops below your limits, and we let you compete on the SKUs that matter while holding price where you have pricing power. The goal is protected margin, not a race to the bottom.
  • Can the data feed our repricing tool, ERP, or internal systems? βŒ„
    Yes. We deliver through APIs, scheduled files, or direct database writes, and can push live signals through real-time inference engines so your repricing and planning tools act on current data, not yesterday's.
  • How often are prices refreshed and how fast are MAP-violation alerts? βŒ„
    From daily refreshes to near real-time for fast-moving categories and sale windows. MAP-violation and large price-move alerts can fire as soon as a change is detected, so your team responds in hours, not at month-end.
  • Which marketplaces and quick-commerce apps do you cover? βŒ„
    Amazon.in, Flipkart, Myntra, Meesho, Nykaa, and quick-commerce platforms including Blinkit, Zepto, and Swiggy Instamart. If you sell somewhere public that we do not already cover, we add it as part of the build.
  • Do you offer a free sample or audit before we commit? βŒ„
    Yes. We start with a free price benchmark: a snapshot of how your priced products compare against competitors on your chosen marketplaces. You see the data quality and the gaps before any commitment.
  • How does pricing and engagement work? βŒ„
    It depends on the number of SKUs, marketplaces, refresh frequency, and how much of the action layer you want. We scope it after the free benchmark so you pay for what you use, rather than a flat tool subscription that ignores your scale.