Why does SAP TM route optimisation fail in real operations?<\/b><\/p>\n
In our experience, the optimiser is rarely the first thing that needs fixing. The problem usually sits around it. Master data nobody checks. Systems that share information late. Constraints set too tight. A transport network that does not match how freight actually moves. And planners who do not trust the routes they are handed.<\/span><\/p>\n The result is a plan that looks correct on screen and falls apart on the road.<\/span><\/p>\n Late deliveries and rising freight costs are usually the first sign.<\/span><\/p>\n \u00a0<\/span><\/p>\n 5 signs your SAP TM route optimisation is not delivering<\/b><\/p>\n Run through this list before you blame the software.<\/span><\/p>\n If three or more sound familiar, look at your setup before you look at the software.<\/span><\/p>\n \u00a0<\/span><\/p>\n What this looks like from the top floor<\/b><\/p>\n Most leaders never see the routing screen. They see the results of it.<\/span><\/p>\n Each of these traces back into the planning setup. Below are the eight causes we run into most often.<\/span><\/p>\n \u00a0<\/span><\/p>\n Why it happens: 8 root causes<\/b><\/p>\n Drivers get wrong building numbers, missing gate codes, or half an address. One bad record is nothing. Multiply it across a few hundred stops and you get extra miles, failed deliveries, redelivery attempts, restocking cost, and a phone call from an unhappy customer. Your original savings case quietly disappears.<\/span><\/p>\n Then there is stale map data. This is old road and location information that no longer matches what is out there. A route that made sense last year now runs into a new weight limit on a bridge, a construction zone that has been active for months, or a low clearance system that does not know about. A clean route on paper becomes a twenty minute detour in real life. It happens when map data is refreshed slowly instead of continuously.<\/span><\/p>\n Picture three systems. Your ERP holds the order. Your CRM holds the customer\u2019s delivery instructions. Your warehouse knows when the pallet is actually staged and ready to load.<\/span><\/p>\n SAP TM needs the right order, customer and warehouse information at the right point in the planning process. In many landscapes it does not get that. The data arrives through batch interfaces, through a file drop overnight, or through someone re-keying it by hand. By the time SAP TM sees it, the situation on the floor has already moved on.<\/span><\/p>\n Older ERPs, CRMs & warehouse systems were built in different years by different vendors, long before anyone designed around APIs. Closing the gap is integration work, not configuration work, and it is the part most projects underestimate.<\/span><\/p>\n Not every rule deserves the same weight.<\/span><\/p>\n Weight limits, vehicle capacity and legal driving hours are hard constraints. They cannot be broken. But customer preferences, driver familiarity and internal habits often get entered as hard constraints too.<\/span><\/p>\n Over-constrain the model, and it hands you a plan that is technically valid and expensive to run.<\/span><\/p>\n The transport network is the boundary of what the optimiser can see. If your lanes, transshipment points, carrier capabilities and operating calendars are incomplete, SAP TM is choosing from a short list.<\/span><\/p>\n A thin network limits the result before planning even starts. A properly built one gives the optimiser real alternatives to compare.<\/span><\/p>\n Optimisation is only useful if it reflects what can actually leave the building.<\/span><\/p>\n When<\/span> SAP TM<\/b><\/a> and SAP EWM are not properly integrated, transport planning ends up running on warehouse information that is incomplete or out of date. A pick, staging or loading delay then breaks a plan that looked perfectly valid an hour earlier. This gap is where a large share of \u201cthe optimiser is wrong\u201d complaints actually come from.<\/span><\/p>\n This is not a people problem, and it is not bad faith. It is a trust and usability problem.<\/span><\/p>\n Some veteran drivers with twenty years on the road will take their own route no matter what the screen says. Some feel that live tracking is surveillance rather than support. Others take detours for reasons the system will never know about, like avoiding an area they do not feel safe in.<\/span><\/p>\n Dispatchers do the same thing in their own way. If a sequence looks odd at first glance and nobody can explain the logic behind it, they override it out of habit. Most dispatch teams know their routes, drivers and customers extremely well but were never trained to read what the optimiser is doing.<\/span><\/p>\n Every override chips away at the efficiency you paid for, and it never shows up as a line item anywhere.<\/span><\/p>\n Every route plan is based on the information you have at that moment, but things can change quickly. An important customer may suddenly place a last-minute order, and the sales team expects it to go out on a truck that is already full.<\/span><\/p>\n The driver might then spend two hours waiting at the customer\u2019s dock because the receiving team is short-staffed. And just when everything seems under control, a highway could close because of an accident.<\/span><\/p>\n That is the reality of transportation. Plans change, and your operation needs to be able to respond.<\/span><\/p>\n Roads flood. Snow shuts down half a corridor. A plan built on tight back-to-back timing has nowhere to put that shock. One delay in the morning turns into six late deliveries by evening.<\/span><\/p>\n Licensing is the visible number. It is rarely the one that hurts.<\/span><\/p>\n The costs that get missed are onboarding, hardware, telematics, driver training, and the unglamorous integration work needed to connect the routing setup to an ERP or WMS that has been running for a decade.<\/span><\/p>\n There is also a scale problem. An approach that works well for ten trucks will not behave the same way at five hundred. As the fleet, stops and constraints grow, the number of possible combinations grows much faster, and planning runs need to be designed with that in mind.<\/span><\/p>\n \u00a0<\/span><\/p>\n How to check your own setup?<\/b><\/p>\n Good optimisation depends on good data. Validate it before the routing logic runs. Do not assume a field is correct just because it is filled in.<\/span><\/p>\n\n
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