Mark Skogen
March 13, 2020
Better customer service linked to improved local input
Have you ever gone to a store to buy something, only to leave empty-handed because what you wanted wasn鈥檛 there?
It has been estimated that one out of every 13 items sought by shoppers isn鈥檛 in stock, says Dr. Osman Alp, PhD, who is an associate professor at the . For Walmart, alone, fixing such 鈥渟tock-outs鈥 may represent a $3-billion U.S. opportunity, he says.
But retailers have found it hard to tackle this problem. Inventory systems typically track products that are in stores, such as how much of a particular item has been sold.
They don鈥檛 record the demand for products that currently aren鈥檛 there, says Alp, adding customers who don鈥檛 find what they want rarely provide feedback. 鈥淵ou don鈥檛 tell anybody about this 鈥斅爕ou just go,鈥 he says. 鈥淵ou may go to another store, you may come back later at another time, or you may not come back at all.鈥
Problem affected Amazon
As one of the co-authors of a recent paper published in , Alp studied the problem as it affects grocery chains. Even a company as technologically sophisticated as Amazon ran into difficulties when it purchased Whole Foods in 2017 for $13.7 billion U.S., he says.
Although a computer-aided ordering system had earlier been implemented by Whole Foods to centralize inventory decisions, the grocery chain experienced and customer dissatisfaction, says Alp.
Part of the problem was that local managers were no longer able to provide knowledge critical to the success of their stores, creating an 鈥渋nformation asymmetry,鈥 he says. 鈥淪tore managers have prompt knowledge of the variations in their local demand, but headquarters can only rely on historical sales data, which doesn鈥檛 reflect the amount of lost sales at the local domain.鈥澛
Incentive missing for managers
Under such arrangements, there isn鈥檛 much reason for managers 鈥斅爓ho are often on fixed salaries 鈥斅爐o stick their necks out with headquarters by offering feedback, he says. They might be rewarded with things such as extra pay if they meet headquarter revenue targets, 鈥渂ut there is this incentive misalignment because this won鈥檛 help reduce stock-outs.
鈥淩evenue represents a very blended figure that is contributed to by several different factors. It doesn鈥檛 really reflect headquarters鈥 objective to maximize customer service by avoiding stock-outs.鈥
Blindly ordering as many items as possible in case customers want them isn鈥檛 the answer, he says. 鈥淜eeping larger inventories is very costly, particularly for perishable food, and those costs will get passed on to consumers. Stores must strike a balance between carrying inventories and incurring shortages.鈥
His paper instead proposes to reduce stock-outs by giving local store managers more power. The solution was successfully tested using a mathematical model that used real data from a European grocery chain, he says.
Local decisions empowered
鈥淗eadquarters would still want to have a centralized ordering system to keep track of everything, and to make recommendations about how much of each product to order,鈥 says Alp. But local managers would be able to override the system and make their own decisions.
Their success would be evaluated by a new key performance indicator (KPI), which is a target measured over a certain period of time. Although managers would still be on a fixed salary, this new KPI would reward them 鈥渋f the item is on the shelf at a predetermined time instant, and if the end-of-period inventory level is kept at a reasonable minimum,鈥 says Alp.
If this KPI is implemented with optimized parameters for every store, headquarters will incentivize local managers to order the right quantity that maximizes customer service, but without requiring headquarters to track the exact demand at each store, he says.
鈥淭he system will say, 鈥極rder 1,000 units of this cereal,鈥 and then the store manager, based on his own information and trying to maximize his performance, will say: 鈥業 don鈥檛 want 1,000 units 鈥斅600 is enough,鈥 or maybe another time, he will order 3,000,鈥 says Alp. 鈥淭his will eventually minimize shortages and maximize customer service.鈥