Goods Checker

Ecosystem For Merchandising Process Automation

  • Data analysis by sales points, SKU, merchandisers
  • Creation, copying and editing of planograms
  • Customizable dashboards and detailed analytics

What is Goods Checker?

Goods Checker is a SaaS based solution for FMCG manufacturers which automates all merchandising stages. With Goods Checker, managers are provided with up-to-date and trustworthy analytical data at all times, allowing them to make prompt and appropriate managerial decisions.

Goods Checker provides an opportunity to increase sales by up to 7%.

Objective KPIs

Objective KPIs

Managers set realistic KPIs and perform objective assessment of merchandiser.

Causes of non-compliance with planograms

Causes of non-compliance with planograms

Managers track the reasons of non-compliance with planograms: being out of stock, broken equipment, etc.

Assessment of the actual situation on shelves

Assessment of the actual situation on shelves

Managers receive information about the actual situation in stores and on shelves: the share of the shelf occupied by your products and competitors’ products, the quality of work of employees.

Up to 7%increase in sales of FMCG manufacturers products in retail
100%treatment of all merchandisers visits to points of sale
Up to 45%decrease in auditing and data processing time

Goods Checker product recognition software helps:

  • Optimize merchandising business processes and manage merchandisers’ visits to points of sale in less than 60 seconds
  • Obtain data on planogram displays, compare realograms and planograms in real-time, and quickly make changes due to high speed and quality of data processing
  • Increase sales volume through retail analytics, prompt data acquisition from outlets on their own and competitors’ products display, and greater involvement of merchandisers in the process
  • Stay one step ahead of competition by analyzing competitors’ SKUs and their shelf share
  • Integrate all the system modules with any necessary internal systems at the customer’s request
  • Save on hardware and its support by utilizing the IBA Group Data Center facilities, get technical support of programmers and data experts without hiring additional staff
  • Controlling POS materials, both your own and those of your competitors
  • Minimize the impact of human error in data processing.

What Does Goods Checker Consist Of?

  • Automatic comparison of the layout with the planogram in real time
  • SKU recognition accuracy over 95%
  • SKU analysis from the start of sales
  • Agglomeration of several photos of the shelf
  • Detection of problems on shelves and timely report on causes (out-of-stock, equipment breakage, etc.)
  • AI processes photos and generates reports
  • Managers do not need to waste hours checking and analyzing photographs

  • Creation, copying and editing of planograms
  • Creation of planograms for SKUs of any size
  • High rate of creation of planograms (100 SKUs per minute)
  • Saving of planograms in MS Excel or PDF
  • Clear and convenient interface

  • Analysis of merchandise data by sales points, SKUs, merchandisers
  • Analysis of the shares of shelves by categories, brands and regions
  • Users can access analytical reports via web browsers
  • Analytics is created in static and dynamic formats (comparison with past periods)

How Does Goods Checker Work?

1/ Merchandiser takes pictures of SKU shelf displays

2/ The pictures are uploaded to the IBA Group Data Center

3/ The artificial intelligence module analyses the pictures, performs product recognition, then makes assessments according to a pre-set scenario

4/ Goods Checker generates data and reports on the server side

5/ Users gain access to reports and analytics via web browser immediately after uploading a picture.

Our Expertise

KEY TECHNOLOGIES

Python, Tensorflow, OpenCV, Pytorch, R

TOOLS

Python, Tensorflow, OpenCV, Pytorch, R, Pillow, albumentations, scikit-image, numpy, pandas, scikit-learn, DLib, PostgreSQL, MongoDB, sqlalchemy, ZeroMQ, Kafka, pyexecerate, pyopenssl, contextlib2, flask, Docker, Apache Airflow, git, DVC, AngularJS, REST API

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