The scars from COVID-19’s supply chain devastation run deep. Entire production systems faced significant distortions, forcing companies to fundamentally rethink their approach to supply chain resilience.
Now, just as businesses begin to recover, a new disruption threatens to unleash chaos not seen since the pandemic. President Trump’s return has reignited protectionist policies with a vengeance, and the turmoil shows no sign of stabilising any time soon, following the fallout from the recent Supreme Court Ruling.
The new global tariffs have taken effect at 10%, (although Trump had threatened a higher rate of 15%), which may provide some relief, but the threats, combined with a 150-day timeframe, highlight how difficult it is for businesses to plan ahead as highlighted by the British Chambers of Commerce, writes Mike MacAuley, General Manager, Liferay UK&I.
Supply chain experts have already warned that Trump-era tariffs won’t stay confined to trade statistics; they’ll start showing up in the weekly shop, as exports lose scale and unit costs rise, increasing the risk of higher prices, fewer discounts and less choice in UK supermarkets – particularly in processed and branded foods where wholesalers are a critical link in the chain.
For wholesalers caught between manufacturers and retail or foodservice customers, this volatility is brutal. Tariffs and shifting trade routes push up list prices, while weather-related crop failures and logistics shocks keep tightening availability. The result is thinner margins, more frequent range reviews and tougher conversations with customers on price, promotions and substitutions.
The implications are stark. Wholesalers and their supplier partners are abandoning established sources despite enormous switching costs, scrambling to find alternatives as trade-restrictive measures surge globally. Meeting these challenges requires more than quick fixes, it calls for more sophisticated solutions.
That’s why AI has become an essential survival tool. The technology excels at processing vast datasets – inventory levels, market trends, supplier performance metrics, geopolitical risk factors – and transforming them into real-time insights that enable nimble decision-making. When tariff announcements can reshape entire supply networks overnight, this analytical speed becomes the difference between thriving and merely surviving.
Beyond automation
The most sophisticated AI applications in supply chain management go far beyond simple task automation. They serve as strategic orchestrators, continuously monitoring and optimising complex networks to actively undo the fragmentation that trade wars create.
Take supplier evaluation – a critical challenge as wholesalers and their suppliers flee high-tariff jurisdictions and attempt to rebuild their networks. AI systems can analyse potential partners not just on cost and capacity, but on dozens of risk factors: financial stability, regulatory compliance, environmental standards, labour practices, and political stability in their operating regions. They can model different scenarios and provide recommendations that account for both immediate tariff impacts and long-term supply chain resilience, essentially undoing the guesswork that leads to costly mistakes.
Where delays, shortages, and shifting tariffs once created cascading uncertainty, AI now provides real-time visibility and predictive insights. Wholesale and supply chain teams can anticipate risks, allocate resources more efficiently, and adapt to volatile policies with a speed and accuracy beyond human capacity.
Lightening the load
AI’s greatest value lies not in replacing human judgement, but in amplifying it to help undo the complexity that trade wars create. By automating data-heavy analysis and highlighting key insights, AI frees human teams to focus on the strategic navigation needed to rebuild fractured supply networks. This represents the kind of intelligent partnership that can genuinely reverse supply chain chaos as technology becomes most effective when it empowers humans to make better decisions faster.
Modern AI platforms offer the architectural foundation needed to rebuild rather than simply patch existing supply chains. When AI implementation is successful, companies can genuinely undo much of the damage that protectionist policies inflict, creating supply networks that are more resilient than existed before the disruption.
In wholesale, that often means combining planning, ERP and pricing systems with a digital layer that presents AI insights in a single, easy-to-use portal for buyers, depot managers and suppliers, instead of leaving them buried in separate tools and spreadsheets.
Where AI makes the difference
The practical applications of AI in today’s supply chain environment are both immediate and transformative.
Inventory optimisation: this becomes critical when suppliers change frequently. AI can predict demand patterns across new supplier networks and adjust stock levels accordingly. Route optimisation takes on new importance when traditional logistics channels face tariff barriers as AI can identify alternative pathways and calculate total landed costs across multiple scenarios.
Risk assessment: these capabilities prove particularly valuable in volatile trade environments. AI systems can continuously monitor supplier financial health, political stability in manufacturing regions, and regulatory changes that might affect operations. This comprehensive risk modelling helps companies build diverse supplier portfolios that remain resilient even as individual relationships face disruption.
Range and substitution management: when tariffs or extreme weather make certain lines uneconomic or unavailable – whether that’s US-sourced nuts or strawberries from Spain and Morocco – AI can flag at-risk SKUs, propose viable substitutes and simulate margin impact across key customer segments, so wholesalers can adjust their core and promoted ranges before shelves go empty.
Customer segmentation and pricing: AI-driven analytics can help wholesalers understand which customers are most exposed by a given disruption, and where there is scope to rework case sizes, minimum orders or promotional spend to protect relationships without destroying margin.
The reality check
While AI can’t eliminate geopolitical uncertainty or magically restore the low-friction global trade environment of the past, it can significantly lighten the operational load on businesses forced to navigate this new reality. Companies that embrace AI-driven supply chain management won’t necessarily avoid all disruption, but they’ll be better positioned to respond quickly, evaluate alternatives effectively, and maintain operations even as the global trading system undergoes fundamental restructuring.
As trade wars reshape the landscape and traditional supply chain assumptions crumble, the question isn’t whether AI can single-handedly solve the problems created by protectionist policies. It’s whether businesses can afford not to harness AI’s analytical power as they build the resilient, adaptive supply chains that this new era demands.
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