Metacommerce for competitive price monitoring

Platform for competitive price monitoring and product mix analysis for retailers.

 

It helps to make effective business decisions by providing accurate, comprehensive and reliable market insights.

 

Book demo

4 MAIN RETAIL BUSINESS CHALLENGES

 

Limitations

Companies monitor only top-5 products. It can cover 60% of the profit, 40% remains unpredictable

Uncertainty

It is hard to know the real price of the competitor, because there are promo bundles

Slow

80% companies spend up to 1 hour a day; 20% up to half a day on monitoring

Losses

73% of research participants have lost income due to delayed price monitoring for the last 3 months

WE CAN SOLVE THEM WITH METACOMMERCE

 

With Metacommerce, you can get competitors’ prices in one click. Our service collects data from both digital and physical sources to provide a clear market overview.

Informative

All visible data about products: prices, availability, ratings and feedback

Fast

Automatic data collection in seconds

Relevant

Dynamic pricing monitoring — each hour, day or week with quality check tools

Reliable

Reliable local partner and successful history of projects

Book Consultation

HOW IT WORKS

Informative, fast and accurate

99%

Of items collected from such data sources as online stores, marketplaces, price lists and apps

+462%

Price tags collected by same team per month

3.6 TB

Of the items data is collected daily

120 000 000

Of products get analyzed daily

Relevant

Cached pages

We’re providing access to the page version at the moment of data collection

Check of data completeness

Whether the goods-related data is complete

Price tag photos

We’re granting access to all photos

Check of mapping precision

Whether the collected goods-related data is properly mapped

BUSINESS VALUE

What does Metacommerce propose?

Increased sales & customer retention

Price optimization attracts buyers, increases market share and improves customer loyalty

Effective price updates

Dynamic pricing improves competitiveness with automatic collection and processing of data

Adaptive & in-demand product ranges

Assortment analysis of competitors helps to understand demand and update product ranges

Prompt, data-driven decisions

Insights and data help with efficient responses to competitor promotions, sales and discounts

Price optimization

Increase revenue by 5-7% and reduce lost profits by 8-10%

Receive relevant data

Accelerate repricing and speed of reactions based on market changes within 1 hour

Download presentation

USE CASES

ONLINE ELECTRONICS STORE

Business goals

  • Increase sales & revenue
  • Reduce losses & costs
  • Improve repricing efficiency

Solution

  • Automation of data collection and analysis
  • Assortment analysis of competitors
  • 40+ types of reports for various departments

Business result

  • Revenue +2%
  • Repricing accelerated: from 24 hours to 1 hour
  • Reduction of lost profit from retaining price margins for products not requiring adjustment: +10%
  • Savings from reduced manual monitoring: 9 000 $ per month for 10 employees

PHARMACY CHAIN

Business goals

  • Track prices and availability of medicines daily in individual retail pharmacies by geographic clusters
  • Optimize prices and supply chains

Solution

  • Collection of data from sites of selected pharmacy directories, the data contains pricing & availability of medicines in individual pharmacies of the city
  • Identification of geographic clusters that combine cities or districts within cities with similar profiles for potential buyers based on consumption, income, and other factors
  • Automation of the data collection process for 5000+ medicines on 47 websites in 31 geographic clusters
  • Complete reporting which includes distribution data by clusters is provided to the client using direct integration with the database

Business result

  • Daily, the client receives reports directly that contain up to 15,000,000 proposals of competitors according to geographic clusters and potential buyer profiles which include similar salary levels, consumption, etc.

GROCERY STORE CHAIN

Business goals

  • Monitor offline retail stores of competitors
  • Optimize product ranges and pricing

Solution

  • Centralized task management for teams via the web app
  • Collection of competitor data using the Metacommerce mobile app
  • Recognition of price tags by computer vision & AI
  • Transparent reporting on collected data and auditor ratings

Business result

  • 15 mln price tags collected in 30 months
  • 99% price tags identified and successfully recognized
  • x3 increase in monitoring frequency
  • +462% price tags collected per month
  • +600% auditor effectiveness
  • -58% reduction in cost of collection per price tag

 

Book demo

Videos and images

Contact

Would you like to learn more? Contact us!

Name *
Surname *
Company *
Work mail *
accept