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Every quarter, the same report lands on the CFO\u2019s desk. Logistics costs are up again not slightly, but enough to impact margins.<\/span><\/p>\n The logistics head already knows the reasons. Fuel costs increased. Carriers raised rates. A few urgent shipments went out at premium pricing because planning ran out of time.<\/span><\/p>\n But knowing the reason doesn\u2019t fix the problem.<\/span><\/p>\n Most companies are still planning goods the same way they did years ago with spreadsheets, emails and phone calls. The planner will spend two to three days developing a shipment plan that will be obsolete by the end of the week. One delay, one change or one rejected carrier and the whole plan goes down the drain.<\/span><\/p>\n This is no small leak. It is an ongoing cost loss.<\/b><\/p>\n The CSCMP State of Logistics Report in 2025 stated that U.S. logistics are projected to be $2.58 trillion, or 8.8% of GDP. And in manufacturing, a Xeneta survey from 2026 found that 94% of companies exceeded their freight budgets, by an average of 10%.<\/span><\/p>\n The real question isn\u2019t whether freight costs will go up.<\/span><\/p>\n So, the real question is, “<\/span>Is your planning process controlling costs or quietly increasing them?\u201d<\/b><\/p>\n Freight used to be treated as a routine expense. Negotiate once a year, accept rate increases, and move on.<\/span><\/p>\n That approach no longer works.<\/span><\/p>\n Logistics costs are now always higher than pre-pandemic levels. Freight rates are erratic and volatile. Take container costs, for example. In October 2023, a 40-foot container cost $1,342. A year later, that same container was running north of $5,900 \u2014 a nearly 340% spike in freight rates.<\/span><\/p>\n Even once they\u2019ve stabilised, the rates are still significantly higher than they were.<\/span><\/p>\n Now multiply this across:<\/span><\/p>\n Manual planning simply cannot keep up.<\/span><\/p>\n When carrier selection is based on habit instead of data, when load consolidation happens in someone\u2019s head, and when actual costs are only known after invoices arrive, the business is not managing freight.<\/span><\/p>\n It is absorbing inefficiency.<\/span><\/p>\n That\u2019s why 77% of Chief Supply Chain Officers now rank freight cost as their top challenge.<\/span><\/p>\n What SAP S\/4HANA TM Freight Optimisation Really Means<\/span><\/p>\n In essence, it lets you schedule your shipments at the lowest cost possible.<\/span><\/p>\n The system instead of manual decisions based on:<\/span><\/p>\n For example:<\/b> The result:<\/span><\/p>\n No guesswork. No manual dependency.<\/span><\/p>\n These are the exact problems we hear from logistics leaders:<\/span><\/p>\n All of this points to one issue:<\/span><\/p>\n Freight planning has not evolved with the business.<\/b><\/p>\n And when planning stays manual, every new shipment adds more complexity \u2014 and more cost.<\/span><\/p>\n This is not for every company. It is for businesses where logistics is becoming a major cost driver.<\/span><\/p>\n You should consider it if:<\/span><\/p>\n If 2\u20133 of these apply, there is already cost leakage.<\/b><\/p>\n This is not a small improvement.<\/span><\/p>\n It is a completely different way of working.<\/span><\/p>\n Client Profile<\/b><\/p>\nFreight Is No Longer Just a Cost \u2014 It\u2019s a Business Strategy<\/span><\/h3>\n
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\n<\/b>Instead of a planner choosing a carrier based on the requirements, the system automatically selects the lowest cost option that still meets delivery timelines.<\/span><\/p>\n\n
The Daily Challenges Logistics Teams Face<\/span><\/h3>\n
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Who Should Consider SAP TM Freight Optimisation?<\/span><\/h3>\n
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Manual Planning vs SAP TM \u2014 The Real Difference<\/span><\/h2>\n
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\n Factor<\/b><\/td>\n Manual Planning<\/b><\/td>\n SAP S\/4HANA TM<\/b><\/td>\n<\/tr>\n \n Cost Control<\/span><\/td>\n Reactive<\/span><\/td>\n Real-time optimised<\/span><\/td>\n<\/tr>\n \n Planning Time<\/span><\/td>\n 2\u20133 days<\/span><\/td>\n Few hours<\/span><\/td>\n<\/tr>\n \n Carrier Selection<\/span><\/td>\n Habit-based<\/span><\/td>\n Data-driven<\/span><\/td>\n<\/tr>\n \n Load Optimisation<\/span><\/td>\n Inconsistent<\/span><\/td>\n Automated<\/span><\/td>\n<\/tr>\n \n Visibility<\/span><\/td>\n Limited<\/span><\/td>\n Real-time<\/span><\/td>\n<\/tr>\n \n Scalability<\/span><\/td>\n Breaks under pressure<\/span><\/td>\n Scales easily<\/span><\/td>\n<\/tr>\n \n Delivery Performance<\/span><\/td>\n Unpredictable<\/span><\/td>\n Consistent<\/span><\/td>\n<\/tr>\n \n Business Impact<\/b><\/td>\n Higher cost, more errors<\/span><\/td>\n Lower cost, better control<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Real Case Study \u2014 22% Freight Cost Reduction<\/span><\/h3>\n
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Before SCM CHAMPS<\/span><\/h3>\n
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What SCM CHAMPS Implemented<\/span><\/h3>\n
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Results (Within 6 Months)<\/span><\/h3>\n