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Technology

Taking a technological leap of faith in supply chain management

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Sup­ply chain strat­e­gy and deci­sion-mak­ing involves bal­anc­ing mul­ti­ple com­pet­ing pri­or­i­ties, from speed and cost to resilience and the use of AI. But even when the bal­ance is right, it’s nev­er right for long

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Strate­gic deci­sions are the basis of sup­ply chain man­age­ment. From the fun­da­men­tals of where and how much to buy, to engage­ment with the lat­est tech­nolo­gies. CPOs and sup­ply chain direc­tors must decide their strat­e­gy based on all the fac­tors affect­ing their par­tic­u­lar busi­ness, as well as the val­ue placed on often con­flict­ing moti­va­tions such as bud­get, speed, ethics, effi­cien­cy, sus­tain­abil­i­ty, flex­i­bil­i­ty and of course costs.

Achiev­ing the per­fect bal­ance of all these vari­ables is an eter­nal chal­lenge, because even when the KPIs and prof­its are deliv­ered, there is the ever-present dan­ger that things will change. Mar­kets shift, tech­nolo­gies devel­op and the unex­pect­ed is nev­er far away. 

The last year or two have been rife with exam­ples of dis­rup­tions that have put sup­ply chain deci­sions at the top of the board­room agen­da. An ide­al sup­ply chain strat­e­gy will have just enough flex­i­bil­i­ty to deal with a cri­sis and pre­vent cat­a­stro­phe. Too much capac­i­ty is inef­fi­cient and inhibits agili­ty, but too lean a sup­ply chain risks being too brit­tle to adapt to sud­den changes. 

His­tor­i­cal­ly for many busi­ness­es, resilience has been some­thing of an after­thought. Emile Naus, part­ner at con­sul­tan­cy Bear­ing­Point, says: “Sup­ply chain strat­e­gy has had a focus on deliv­er­ing costs reduc­tions over the past 30 years. As a result, we have glob­al sup­ply chains with long lead times, high inven­to­ry (sup­port­ed by very low inter­est rates) and low cost. But this has come at a sig­nif­i­cant ‘cost’ that is less vis­i­ble than finan­cial. Longer sup­ply chains, with more ele­ments in the chain, are fun­da­men­tal­ly less flex­i­ble and less resilient.”

Supply chain transformation as a strategy

Less robust sup­ply chains neces­si­tate big deci­sions and fast changes when dis­rup­tion hits. But the upheaval of entrenched prac­tices can also be an oppor­tu­ni­ty for valu­able long-term trans­for­ma­tion.

“Sup­ply chain strat­e­gy will need to take a much more bal­anced view around risk, flex­i­bil­i­ty, invest­ment and costs,” says Naus. “Sup­ply chain strate­gists will then need to under­stand where they can sen­si­bly reduce the impact on the oper­at­ing costs, which will accel­er­ate the exist­ing trends to automation…robotics and appli­ca­tion of AI.”

Machine learn­ing, arti­fi­cial intel­li­gence and the inter­net of things are per­haps opaque con­cepts. But they can help peo­ple and busi­ness­es use data to make bet­ter-informed deci­sions, ele­vat­ing estab­lished sup­ply chain process­es like ERP, EAM, CRM, ITOM and HCM to the next lev­el and beyond.

Chris Gabriel, CTO at busi­ness soft­ware con­sul­tan­cy Sap­phire Sys­tems, says: “We are see­ing smart sup­ply chains being able to mon­i­tor ships at sea or con­tain­ers in a port and pro­vide auto­mat­ed data inputs into fore­cast­ing or stock man­age­ment.  We are see­ing algo­rithms able to pre­dict how cus­tomers will pay.  Of course, we are see­ing the growth in machine learn­ing and our abil­i­ty to recog­nise and act on infor­ma­tion in doc­u­ments or oth­er for­mats cou­pled with auto­mat­ed deci­sion mak­ing to speed up flows across organ­i­sa­tions.”

Taking a strategic leap of faith

The burn­ing strate­gic deci­sion for many is not whether to take the plunge into big data and AI but when, and to what extent. It’s an easy deci­sion for mar­ket lead­ers to invest heav­i­ly in emerg­ing tech, because they can absorb the costs and even view fail­ures as valu­able lessons. But the deci­sion is hard­er for small­er oper­a­tors.

Adopt­ing new meth­ods involves risk, and wait­ing for the best tech to be proven can be tempt­ing. How­ev­er, defer­ring these big deci­sions could mean being left behind. And although imple­ment­ing com­plex new sys­tems may seem pro­hib­i­tive­ly expen­sive, cloud com­put­ing is now offer­ing mod­u­lar and user-friend­ly options. 

The cloud is mak­ing the lat­est tech acces­si­ble to all, but Gabriel adds that it still requires some­thing of a strate­gic leap of faith, because cloud has to a cer­tain extent rewrit­ten the rules.

“Cloud said ‘don’t con­fig­ure your busi­ness to the ERP sys­tem but use best prac­tise in the cloud ERP sys­tem to recon­fig­ure your busi­ness.’” And that came as a step too far for many…but the gains of mov­ing from a sys­tem of record to a sys­tem of action are huge.”

The tur­bu­lence of the last 18 months has increased the val­ue of resilience in sup­ply chains, and the ben­e­fits of AI seem futile to resist. Among a sea of vari­ables, it seems the one con­stant is change, which always comes with costs and risks. If change is inevitable, the ‘how’ and ‘when’ remain the deci­sions of the sup­ply chain direc­tors, and so the bal­anc­ing act must con­tin­ue.


Supply chain strategy and decision-making involves balancing multiple competing priorities, from speed and cost to resilience and the use of AI. But even when the balance is right, it’s never right for long

Strategic decisions are the basis of supply chain management. From the fundamentals of where and how much to buy, to engagement with the latest technologies. CPOs and supply chain directors must decide their strategy based on all the factors affecting their particular business, as well as the value placed on often conflicting motivations such as budget, speed, ethics, efficiency, sustainability, flexibility and of course costs.

Achieving the perfect balance of all these variables is an eternal challenge, because even when the KPIs and profits are delivered, there is the ever-present danger that things will change. Markets shift, technologies develop and the unexpected is never far away. 

TechnologyEthical supply chain strategy

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