Quickly gain access to comprehensive analysis of inspection data from across your entire ecosystem.
Deep-dive into inspected quantities, product categories, product lines, defects, and inspection trends over the course of production cycles.
Nestled in the Activities menu is Inspection Analytics, where you have access to comprehensive analysis of inspection data from across your entire ecosystem. Quickly access the activities of all stakeholders, both for specific points in time periods and over customizable periods.
Inspection Analytics increases oversight capabilities while dramatically reducing the amount of time required to obtain and make sense of data, thus reimagining the role data can play in your company’s day-to-day decision making.
Features of Inspection Analytics
The user experience begins with several filters, allowing you to open the page and, with several clicks, hone in on exactly the insights you’re seeking. These filters include inspection date, retailer, oversight office, and more.
Next, an Inspection Summary provides a concise overview of how many factories, suppliers, inspection executors, and inspectors have been active for the specified time period, as well as how each compares with the same period in the previous year.
Modern enterprises have many different types of inspections to keep track of. The Inspection Type Summary simplifies monitoring them by displaying the total number of inspections and their relative pass/fail rates. All inspection types are displayed in a table, along with their respective numbers and pass/fail rates to provide immediate and detailed understanding.
An Inspected Quantity shows how many samples have been inspected over the total number of units, as well as the accepted/defective rates. The included table displays how many defects have been found per defect type. Both this and the Inspection Type Summary sections are easily downloadable as CSV files.
In the Inspection Trend and Defect Trend sections, you will find intuitive line/bar graphs showing the pass rate and fail rate over time, respectively. Each graph displays the current running average and that of the previous year for quick benchmarking. Hovering over points on these graphs reveals more details, and metrics can be removed and added to customize them as needed.
The Product Line & Category Summary shows a heat map of fail rates by product line, with different product lines represented by boxes whose size indicates the number of inspections. Clicking on a box opens another heat map to the right, where you can view which product categories contribute most significantly to the fail rate, allowing you to quickly identify problem areas.
The Performance Ranking section creates a bar graph ranking factories, suppliers, offices, inspection executors, or countries by the number of inspections, fail rate, inspected samples, or defective rate. As with other features in Inspection Analytics, hovering over a bar provides more details into the number of inspections, pass rate, and fail rate.
The final section, Detail Breakdown, is the most comprehensive of all, providing you with highly detailed information on each of your factories, suppliers, offices, or inspection executors.
Defect Summary adds further power to the Inspection Analytics, delivering visibility into key metrics associated with inspection failures and defects.
The Correlation Between Fail Rate & Defective Rate presents a real-time scatter plot of Fail Rate and Defective Rate, elucidating the relationship between these two trends. This relationship can be displayed for factories, suppliers, offices, product lines, countries of production, or inspection executors. Hovering over each point reveals more detailed information.
The Top Defects section displays the most common defects found, filterable by inspection section and defect classification. Selecting each type of defect reveals the factories, suppliers, offices, product lines, and product categories where the defect is occurring most frequently.
One of the most innovative features is Defect Distance to AQL, which empowers retailers to closely monitor the margins by which inspections are passing or failing (this can be particularly useful in cases where Vendors or Factories are conducting self-inspections). By selecting the AQL table and desired sample size, you can view the difference between defects found and acceptable defects according to the AQL level. The color of each bar indicates the status of the inspection, with greater above-zero defect distance to AQL indicating higher fail rates and greater below-zero distance to AQL indicating higher pass rates.
This is but one part of the Analytics suite, yet it radically expands the transparency brands and retailers have into their supply chains. By incorporating incoming data in real-time and providing clear benchmark capabilities, Inspections Analytics makes it trivial to quickly identify large-scale trends and compare them with previous performance. These tools make it easier than ever before to interpret complex systems and base decision-making on comprehensive data instead of subjectivity.