To make the most out of Prediko, keep your data sources up to date.
🧹 Keep it clean
Ensure each unique SKU has a unique name to avoid duplication and deceiving analytics, forecasts, and recommendations.
e.g. if you have the same SKU present in 2 Products - make sure this SKU has the same name in both of these Products
You sell White Tshirt in size S which has SKU name of TwhiteS in two products, one discounted and other original product page:
Product: Tshirt; SKU: TWhiteS
Product: Tshirt Discounted; SKU: TWhiteS
Stock level is dynamic, up to date, and accurate (eg. not default set to 100,000). Failing to do so will lead to inaccurate buying recommendations.
"Product type” = Actual Product Category eg. 'T-shirt', not 'T-shirt Summer 2021'. A large portion of the seasonal forecasts is based on product types. Make sure the taxonomy is used consistently across years and product collections.
Check spelling and for typos in product “options” eg. ‘colour’ and ‘color’ and/or ‘Size’ and ‘size’ → have just one way of spelling.
Don’t delete Shopify products to avoid losing this product data forever! Move the Product into the "Archived" state on Shopify instead.
Don't delete Locations, just Deactivate them.
Add Stock, even if 0, to SKUs per Location. So we know what is the associated Location per SKU.
Add Unit Cost by Product, to ensure accurate Cost in Prediko.