{"product_id":"over-out-retail-s-inventory-distortion-matrix-2022","title":"Over \u0026 Out – Retail’s Inventory Distortion Matrix – 2022","description":"\u003cp\u003eOver \u0026amp; Out – Retail’s Inventory Distortion Matrix – 2022\u003c\/p\u003e\n\n\n\n\u003cp\u003eIHL has been tracking the cost of overstocks and out-of-stocks for over 15 years down to the segment and region level.  Instead of relying just on what retailers tell us their systems say, IHL interviews consumers to see what is really happening. How often are they leaving the stores without purchasing something they intended to buy? Depending on the segment, this can be as high as 1 in 4 items. This model breaks down those reasons and assigns a loss figure to those individual retailers involved.\u003c\/p\u003e\n\n\n\n\u003cp\u003eWhile the industry has made significant progress in some areas, the problem continues to grow as retail has grown around the world.  While in North America and Western Europe, major strides have been made in performance, worldwide the problem of inventory distortion has only grown to a $1.9Trillion issue around the world.\u003c\/p\u003e\n\n\n\n\u003cp\u003eIHL’s Over \u0026amp; Out – Retail’s Inventory Distortion Matrix tracks these costs by segment around world showing historical changes and where improvements have been made and where challenges still exist. This is designed for retailers to see where the big problems are to benchmark themselves against their competition as well as for vendors that are looking that offer solutions to attack these issues.  Because of the granularity of the data, vendors can target the true costs by segment and reasons.\u003c\/p\u003e\n\n\n\n\u003cp\u003eHighlights\u003c\/p\u003e\n\n\n\n\u003cp\u003eWe share data from the last 7 years broken into the following categories:\u003c\/p\u003e\n\n\n\n\u003cp\u003eEmpty shelves\u003c\/p\u003e\n\n\u003cp\u003eCustomers couldn’t find assistance to get items locked up or hidden\u003c\/p\u003e\n\n\u003cp\u003eCustomers find associates, but they cannot find the items (system says in-stock, but can’t find it)\u003c\/p\u003e\n\n\u003cp\u003ePrice\/offer didn’t match online or ad price\u003c\/p\u003e\n\n\u003cp\u003eBuying\/planning Issues\u003c\/p\u003e\n\n\u003cp\u003eMarketing not aligned with merchandising\u003c\/p\u003e\n\n\u003cp\u003eVendor Issues\u003c\/p\u003e\n\n\u003cp\u003eTraining\/employee Issues\u003c\/p\u003e\n\n\u003cp\u003eSpoilage\/consumer Lockdown\u003c\/p\u003e\n\n\u003cp\u003eCompetitive price match\u003c\/p\u003e\n\n\u003cp\u003eSome Other Reason\u003c\/p\u003e\n\n\u003cp\u003eAs well the index provides insight from retailers on who is to blame for the issues. Data provided for costs associated with the following:\u003c\/p\u003e\n\n\n\n\u003cp\u003eInternal processes\u003c\/p\u003e\n\n\u003cp\u003eInternal data\/systems issues\u003c\/p\u003e\n\n\u003cp\u003ePersonnel issues\u003c\/p\u003e\n\n\u003cp\u003eSupplier issues\u003c\/p\u003e\n\n\u003cp\u003eEmployee theft\u003c\/p\u003e\n\n\u003cp\u003eConsumer theft\u003c\/p\u003e\n\n\u003cp\u003eCOVID Surge\/lockdown Issues\u003c\/p\u003e\n\n\u003cp\u003eOther issues\u003c\/p\u003e\n\n\u003cp\u003eThe data is provided for 4 regions of the world (North America, Europe\/Middle East\/Africa, Latin\/South America, Asia\/Pacific) to the level of the following 10 segments:\u003c\/p\u003e\n\n\n\n\u003cp\u003eFood\/Grocery\u003c\/p\u003e\n\n\u003cp\u003eDrug Stores\/Pharmacies\/Perfumeries\u003c\/p\u003e\n\n\u003cp\u003eHypermarket\/Supercenters\/Mass Merchants\u003c\/p\u003e\n\n\u003cp\u003eDepartment Stores\u003c\/p\u003e\n\n\u003cp\u003eSpecialty Soft Goods (apparel, shoes, luggage)\u003c\/p\u003e\n\n\u003cp\u003eSpecialty Hard Goods (DIY, books, furniture, electronics, pets, sporting goods, etc.)\u003c\/p\u003e\n\n\u003cp\u003eConvenience\/Gas\/Forecourt\u003c\/p\u003e\n\n\u003cp\u003eBar\/Table Service Restaurants\u003c\/p\u003e\n\n\u003cp\u003eFast Food\u003c\/p\u003e\n\n\u003cp\u003eOther Hospitality\u003c\/p\u003e","brand":"Marketing \u0026 Market Research","offers":[{"title":"August, 2022 \/ - \/ MCW16257764","offer_id":47678548017458,"sku":null,"price":9600.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.hardmanwell.com\/products\/over-out-retail-s-inventory-distortion-matrix-2022","provider":"HARDMAN AND WELL MANAGEMENT CONSULTANCIES L.L.C","version":"1.0","type":"link"}