Message: Return type of CI_Session_files_driver::open($save_path, $name) should either be compatible with SessionHandlerInterface::open(string $path, string $name): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::close() should either be compatible with SessionHandlerInterface::close(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::read($session_id) should either be compatible with SessionHandlerInterface::read(string $id): string|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::write($session_id, $session_data) should either be compatible with SessionHandlerInterface::write(string $id, string $data): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::destroy($session_id) should either be compatible with SessionHandlerInterface::destroy(string $id): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::gc($maxlifetime) should either be compatible with SessionHandlerInterface::gc(int $max_lifetime): int|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
With inflation at a 40-year high and dynamic pricing changing the competitive landscape daily, this dashboard was created to provide retailers and brands with the fastest visibility to actionable insights
This chart shows how a $100 grocery basket (with the same goods tracked month-to-month, for example) would have changed price on average through a rolling 12-month period, as indicated by the numbers on Y-axis. If you hover over the data, you can see how prices have changed on average each month versus the prior month.
These charts also show how a $100 grocery basket (with the same goods tracked month-to-month, for example) would have changed price on average through a rolling 12-month period, but drilled down by retailer and category. If you hover over the data, you can see how each retailer and category has changed each month versus the prior month.
A bubble plot is used to look at relationships between multiple numeric variables, simultaneously.
In this case, each dot corresponds with the last month’s price and product availability changes within a particular grocery categories at a specified retailer. The bubble size indicates how much greater or smaller the change is compared to other retailers within the same category and across categories within the same retailer.
Charts are best viewed on a Desktop or Tablet
Chart 1, 2, 3, and 5 Source: DataWeave Assortment and Pricing Analytics month-over-month average grocery price changes from June 2021 through present month across 117,381 products within 15 categories at 16 grocery retailers and delivery intermediaries – 7Now, Baker’s, CVS, DoorDash, Drizly, Getir, Giant Eagle, GoPuff, Gorillas, Jokr, Kroger, Meijer, SpartanNash, Walgreens, Walmart Grocery, Walmart.
Chart 4 Source: DataWeave Pricing Analytics month-over-month average grocery price changes from June 2021 through present month across 15 categories at 5 top grocery retailers and delivery intermediaries.
Chart 6 & 7 Source: DataWeave Pricing Analytics month-over-month average grocery price and availability changes from last month by category within 5 top grocery retailers and delivery intermediaries.
