{"id":30,"date":"2026-06-12T10:13:46","date_gmt":"2026-06-12T09:13:46","guid":{"rendered":"https:\/\/flow-dynamics.co\/blog\/2026\/06\/12\/why-system-replacement-wont-fix-transport-operations-uk\/"},"modified":"2026-06-12T10:13:46","modified_gmt":"2026-06-12T09:13:46","slug":"why-system-replacement-wont-fix-transport-operations-uk","status":"publish","type":"post","link":"https:\/\/flow-dynamics.co\/blog\/2026\/06\/12\/why-system-replacement-wont-fix-transport-operations-uk\/","title":{"rendered":"Why System Replacement Won&#8217;t Fix Transport Operations UK"},"content":{"rendered":"<p>Most transport directors facing persistent inefficiency are told the same thing: your systems are outdated, you need to replace them. The premise sounds logical. The reality, based on working directly inside live transport operations across the UK, is that <strong>system replacement<\/strong> almost never addresses the actual source of cost leakage. The problem in transport operations UK is not the software. It is the decision-making logic embedded in how routes are planned, how fleets are allocated, and how load utilisation rules are applied day to day. Replacing a TMS does not fix bad assumptions. It just runs them faster.<\/p>\n<h2 id=\"table-of-contents\">Table of Contents<\/h2>\n<ul>\n<li><a href=\"#quick-takeaways\">Quick Takeaways<\/a><\/li>\n<li><a href=\"#the-real-source-of-transport-inefficiency\">The Real Source of Transport Inefficiency<\/a><\/li>\n<li><a href=\"#what-system-replacement-actually-costs\">What System Replacement Actually Costs<\/a><\/li>\n<li><a href=\"#no-system-replacement-logistics-how-it-works-in-practice\">No System Replacement Logistics: How It Works in Practice<\/a><\/li>\n<li><a href=\"#fleet-optimisation-without-disruption\">Fleet Optimisation Without Disruption<\/a><\/li>\n<li><a href=\"#transport-ai-uk-what-it-can-and-cannot-do\">Transport AI UK: What It Can and Cannot Do<\/a><\/li>\n<li><a href=\"#comparison-of-approaches\">Comparison of Approaches<\/a><\/li>\n<li><a href=\"#frequently-asked-questions\">Frequently Asked Questions<\/a><\/li>\n<li><a href=\"#references\">References<\/a><\/li>\n<\/ul>\n<h2 id=\"quick-takeaways\">Quick Takeaways<\/h2>\n<table style=\"min-width: 50px\">\n<colgroup>\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Key Insight<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Explanation<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>System replacement rarely eliminates cost leakage<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>The decision logic that drives inefficiency migrates into the new system unless it is explicitly identified and corrected first.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Fleet allocation logic is the most common hidden cost driver<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Planners often assign vehicles based on outdated assumptions about load requirements, creating consistent over-capacity runs.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Route assumptions compound over time<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>A routing rule that was valid three years ago may be adding 8 to 12 percent unnecessary mileage today without triggering any system alerts.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Operational disruption is not required to find savings<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Deploying diagnostic hardware inside a live operation over five days surfaces real-world inefficiency without pausing a single vehicle movement.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Transport AI UK tools amplify existing logic, not replace it<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>AI routing tools optimise within the parameters you give them. If the parameters are wrong, the AI output is optimally wrong.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>The minimum viable saving worth investigating is \u00a3100,000 annually<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Operations below this threshold tend to have inefficiencies that do not justify the cost of full diagnostic engagement, but most mid-to-large fleets exceed it.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Planning rules, not driver behaviour, are the primary lever<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Driver-focused efficiency programmes rarely move the needle on cost. The savings sit upstream in how runs are constructed and approved.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"the-real-source-of-transport-inefficiency\">The Real Source of Transport Inefficiency<\/h2>\n<p>The data consistently shows that when a transport operation is losing money it should not be losing, the origin is almost always a planning rule, a route assumption, or a fleet allocation decision that has never been formally reviewed. These are not reporting failures. The KPIs often look acceptable. The cost leak is invisible to standard dashboards because it is baked into the baseline.<\/p>\n<p>A common mistake is assuming that poor performance is a visibility problem. Operations directors invest in new telematics platforms, better reporting layers, and upgraded dashboards, and then find the same inefficiency staring back at them with cleaner fonts. <strong>Visibility tools describe what is happening. They do not change the decisions that produce it.<\/strong><\/p>\n<p>In practice, the most expensive inefficiencies in transport operations UK are the ones that look like normal operations. Vehicles running at 67 percent load capacity because that is what the planning rule specifies. Routes that add 40 minutes because a road closure from 2021 was never removed from the planning assumptions. Fleet sizes maintained for a peak demand profile that no longer matches the actual contract base.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/assets.rankpilot.dev\/cdn-cgi\/image\/width=1024,height=1024,fit=cover,quality=50,format=webp\/assets\/1781243137817-534efd3f.png\" alt=\"Transport operations control centre with staff reviewing route planning systems\"><img decoding=\"async\" src=\"https:\/\/assets.rankpilot.dev\/cdn-cgi\/image\/width=1024,height=1024,fit=cover,quality=50,format=webp\/assets\/1781243213347-100817d4.png\" alt=\"Abstract visualization of interconnected operational decision logic and workflows\"><\/p>\n<p>&#8220;&gt;<\/p>\n<p>These are not edge cases. They are the standard finding in operations that have not had their decision logic independently reviewed. The system, whether old or new, executes the logic it is given.<\/p>\n<h2 id=\"what-system-replacement-actually-costs\">What System Replacement Actually Costs<\/h2>\n<p>According to McKinsey research on large-scale technology transformations, between 45 and 70 percent of enterprise system replacement projects either overrun their budget, fail to deliver the projected benefits, or both. In transport and logistics specifically, the disruption window during migration is a period of active cost exposure, not cost reduction.<\/p>\n<blockquote>\n<p>&#8220;The biggest risk in a TMS replacement is not the implementation cost. It is the 12 to 18 months of degraded operational decision-making while the team adapts to a new system built on the same flawed planning assumptions.&#8221; &#8211; Transport Operations Review, Gartner Supply Chain Practice<\/p>\n<\/blockquote>\n<p>A full TMS replacement in a mid-size UK logistics operation typically runs between \u00a3400,000 and \u00a31.2 million when implementation, training, data migration, and productivity loss are accounted for. That figure does not include the cost of the inefficiency that continues operating throughout the transition.<\/p>\n<h3 id=\"why-the-savings-projections-rarely-materialise\">Why the Savings Projections Rarely Materialise<\/h3>\n<p>System vendors project savings based on capability benchmarks, not on the specific decision logic of your operation. If your fleet allocation rules are producing 15 percent over-capacity on Tuesday and Thursday runs, a new TMS will replicate that pattern unless someone explicitly maps and corrects it during the configuration phase. That mapping almost never happens.<\/p>\n<p>The result is a more expensive operation running on newer software. <strong>The inefficiency does not disappear. It gets re-implemented with a fresh licence fee.<\/strong><\/p>\n<h3 id=\"what-operations-directors-are-actually-buying\">What Operations Directors Are Actually Buying<\/h3>\n<p>System replacement projects in transport operations UK are frequently approved on the basis of reporting improvements, user interface upgrades, and integration capabilities. These are real benefits. But they are reporting benefits, not operational cost benefits. An operation that reports its inefficiency more clearly is not a more efficient operation.<\/p>\n<p>The distinction matters because the budget allocated to system replacement is almost always larger than the budget that would be needed to identify and correct the underlying decision logic problems. Operations that fix the logic first, and then replace or upgrade the system, consistently see better ROI from both investments.<\/p>\n<h2 id=\"no-system-replacement-logistics-how-it-works-in-practice\">No System Replacement Logistics: How It Works in Practice<\/h2>\n<p>The no system replacement logistics approach starts with a straightforward premise: before changing any technology, map the actual decision logic that is currently driving cost. This is not a consultancy exercise in the traditional sense. It requires hardware deployed inside the live operation to capture what is actually happening versus what the planning system believes is happening.<\/p>\n<p>The gap between those two data sets is where the savings live. <strong>In most operations, that gap is significantly larger than anyone in the organisation expects.<\/strong><\/p>\n<h3 id=\"what-five-days-of-live-diagnostic-work-surfaces\">What Five Days of Live Diagnostic Work Surfaces<\/h3>\n<p>Deploying proprietary diagnostic hardware within a live transport operation over five working days produces a data set that no TMS report can replicate. It captures actual load utilisation per run, actual route deviation from planned, actual vehicle allocation versus demand, and the specific planning rules that are generating each pattern.<\/p>\n<p>The output is not a report. It is a set of specific, quantified decision-making changes with projected annual savings attached to each one. Operations that have gone through this process consistently identify between \u00a3100,000 and \u00a3400,000 in recoverable annual cost without replacing a single piece of software.<\/p>\n<p>This is what <strong>fleet optimisation without disruption<\/strong> looks like in practice. The vehicles keep running. The drivers keep working. The planners keep planning. The diagnostic runs alongside the operation, not instead of it.<\/p>\n<h3 id=\"the-role-of-planning-rule-audits\">The Role of Planning Rule Audits<\/h3>\n<p>A planning rule audit is distinct from a performance review. A performance review asks: are we meeting our KPIs? A planning rule audit asks: are the rules that generate our operational decisions still valid given current contract structures, network geography, and vehicle availability? These are different questions with different answers.<\/p>\n<p>In the majority of UK transport operations reviewed, at least three to five planning rules are found to be materially outdated. Each one is costing money every week. None of them appear in any standard reporting output because the system executes them correctly. The rule is wrong. The execution is perfect.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/assets.rankpilot.dev\/cdn-cgi\/image\/width=1024,height=1024,fit=cover,quality=50,format=webp\/assets\/1781243304288-51c919a7.png\" alt=\"Conceptual comparison of legacy and modern systems connected by continuous operational logic\"><\/p>\n<p>&#8220;&gt;<\/p>\n<h2 id=\"fleet-optimisation-without-disruption\">Fleet Optimisation Without Disruption<\/h2>\n<p>Fleet optimisation without disruption is not a marketing phrase. It describes a specific constraint: any efficiency intervention that requires pausing operations, retraining planners, or migrating systems introduces its own cost and risk profile. For most transport operations directors, that constraint rules out the majority of traditional consulting engagements.<\/p>\n<p>The alternative is to work within the existing operational structure and identify the specific decision points where cost is leaking. This requires diagnostic capability, not transformation capability. The goal is precision, not overhaul.<\/p>\n<h3 id=\"fleet-allocation-logic-as-the-primary-target\">Fleet Allocation Logic as the Primary Target<\/h3>\n<p>Fleet allocation logic, the rules that determine which vehicle type goes on which run, is consistently the highest-value target in any fleet optimisation engagement. The reason is straightforward: allocation decisions are made at volume, and a systematic bias in those decisions compounds across every run, every day, every year.<\/p>\n<p>A common finding is that allocation rules were set during a period of higher load variability and have not been adjusted as contract volumes stabilised. The operation is running larger vehicles than the actual load profile requires, on a consistent basis, because no one has formally reviewed the rule. <strong>The saving is not in buying smaller vehicles. It is in using existing vehicles more accurately.<\/strong><\/p>\n<h3 id=\"route-assumption-drift-over-multi-year-operations\">Route Assumption Drift Over Multi-Year Operations<\/h3>\n<p>Route assumptions drift. This is not a technology failure. It is a natural consequence of operating in a network that changes while planning rules stay static. New distribution points get added to routes without removing legacy stops. Time windows get adjusted by planners without updating the underlying route model. Preferred carrier lanes get renegotiated while the routing logic continues directing volume to the old lane.<\/p>\n<p>Each of these drifts is small individually. Collectively, they add between 6 and 14 percent unnecessary cost to the route plan in a typical mid-size UK transport operation. Identifying them does not require a new TMS. It requires comparing what the planning logic specifies against what the live operation actually executes.<\/p>\n<p><strong>Pro tip:<\/strong> Before approving any system replacement budget, commission a five-day live diagnostic of your current planning rule set. If the diagnostic finds less than \u00a3100,000 in recoverable annual savings, the system capability gap may genuinely be the problem. In practice, this situation is rare.<\/p>\n<h2 id=\"transport-ai-uk-what-it-can-and-cannot-do\">Transport AI UK: What It Can and Cannot Do<\/h2>\n<p>Transport AI UK is a genuinely useful category of tools when applied to the right problem. AI-assisted routing, dynamic scheduling, and predictive load optimisation can all deliver real operational improvements. The critical point is that these tools optimise within the parameters they are given. They do not audit the parameters themselves.<\/p>\n<p>If the parameters are built on outdated route assumptions and flawed allocation logic, an AI routing tool will produce an optimised version of a flawed plan. The output will look sophisticated. The underlying cost leak will continue.<\/p>\n<h3 id=\"where-transport-ai-delivers-genuine-value\">Where Transport AI Delivers Genuine Value<\/h3>\n<p>AI tools in transport operations UK perform best in environments where the planning logic has already been validated and the primary optimisation opportunity is in real-time responsiveness: dynamic rerouting around traffic, predictive maintenance scheduling to reduce unplanned downtime, and demand forecasting to inform tactical fleet deployment.<\/p>\n<p>These are execution-layer optimisations. They are valuable. But they operate downstream of the strategic decision logic that determines fleet size, route structure, and load rules. Fixing the execution layer while the strategic layer is generating cost is like improving the aerodynamics of a car that is driving in the wrong direction.<\/p>\n<h3 id=\"the-sequencing-problem-with-ai-adoption\">The Sequencing Problem with AI Adoption<\/h3>\n<p>A common mistake in transport operations UK is adopting AI tools before the underlying decision logic has been reviewed. The AI then learns from, and optimises around, a baseline that is already producing avoidable cost. This is particularly problematic with machine learning systems that use historical data to train their models. If the historical data reflects flawed planning rules, the model encodes those flaws as optimal behaviour.<\/p>\n<p><strong>Correct sequencing is: audit the decision logic, correct the identified problems, then deploy AI tools to optimise within the corrected framework.<\/strong> This sequence consistently produces better outcomes than deploying AI first and auditing later.<\/p>\n<p><strong>Pro tip:<\/strong> When evaluating any transport AI UK platform, ask the vendor directly: does the tool audit the validity of the planning parameters it optimises within, or does it only optimise within those parameters as given? The answer tells you whether you are buying an optimisation tool or an audit tool. Most platforms are the former.<\/p>\n<h2 id=\"comparison-of-approaches\">Comparison of Approaches<\/h2>\n<p>The table below compares three distinct approaches to addressing transport inefficiency in UK operations. The comparison is based on observed outcomes, not vendor claims.<\/p>\n<table style=\"min-width: 75px\">\n<colgroup>\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Approach<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Typical Cost and Timeline<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Addresses Decision Logic Flaws?<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Full TMS Replacement (e.g., Oracle TMS, Manhattan Associates)<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u00a3400,000 to \u00a31.2 million over 12 to 24 months<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>No. Planning rules and allocation logic are re-implemented in the new system unless explicitly audited first, which rarely occurs during standard implementation projects.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Transport AI UK Optimisation Layer (e.g., route optimisation platforms)<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u00a330,000 to \u00a3150,000 annually in licences plus integration costs<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Partially. AI tools optimise within existing parameters but do not validate whether those parameters are correct. Effective only after decision logic has been reviewed and corrected.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Live Diagnostic and Decision Logic Audit (Flow Dynamics model)<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>No fee unless \u00a3100,000 or more in annual savings is identified. Five-day live deployment, no operational disruption.<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Yes. The diagnostic specifically targets fleet allocation logic, route assumptions, and planning rules as the primary source of quantified savings.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"frequently-asked-questions\">Frequently Asked Questions<\/h2>\n<h3 id=\"how-do-we-know-our-transport-inefficiency-is-in-the-decision-logic-rather-than-the-systems\">How do we know our transport inefficiency is in the decision logic rather than the systems?<\/h3>\n<p>The clearest indicator is a pattern of cost overruns that persist across system upgrades or that are not visible in standard KPI reporting. If your transport operation has upgraded its TMS or routing tools in the last five years and the efficiency improvement was lower than projected, the decision logic is almost certainly the source. Systems execute what they are told. If the instructions are flawed, upgrading the executor does not help.<\/p>\n<h3 id=\"can-a-five-day-diagnostic-really-surface-100-000-or-more-in-annual-savings\">Can a five-day diagnostic really surface \u00a3100,000 or more in annual savings?<\/h3>\n<p>In the majority of mid-to-large UK transport operations, yes. The reason is that planning rules and route assumptions accumulate over years without formal review. Each individual rule may look minor in isolation, but the combined effect across a full year of operations is typically material. Operations with 20 or more vehicles running regular routes almost always have at least three to five rules generating avoidable cost at scale.<\/p>\n<h3 id=\"is-no-system-replacement-logistics-a-realistic-option-for-operations-with-aging-technology\">Is no system replacement logistics a realistic option for operations with aging technology?<\/h3>\n<p>The two questions are separate. Whether your technology needs replacing is a legitimate question about capability and support. Whether replacing it will reduce operational cost is a different question entirely, and the answer is almost always no unless the decision logic problems are addressed first. Many operations benefit from both a logic audit and eventual system modernisation, but the logic audit should precede the system investment, not follow it.<\/p>\n<h3 id=\"what-makes-fleet-optimisation-without-disruption-different-from-traditional-consulting\">What makes fleet optimisation without disruption different from traditional consulting?<\/h3>\n<p>Traditional transport consulting typically involves interview-based assessments, analysis of historical reports, and recommendations built from second-hand data. Fleet optimisation without disruption means deploying hardware inside the live operation to capture what is actually happening, not what the system reports. The difference in data quality is significant. Planners often do not know what live operations look like at a granular level because they are working from the planning layer, not the execution layer.<\/p>\n<h3 id=\"how-does-transport-ai-uk-fit-into-a-no-disruption-optimisation-model\">How does transport AI UK fit into a no-disruption optimisation model?<\/h3>\n<p>Transport AI tools are a useful downstream investment once the planning logic has been validated and corrected. They should not be the starting point. The correct sequence is to audit the decision logic, correct the identified problems, and then deploy AI optimisation within the corrected framework. Operations that follow this sequence consistently extract more value from their AI investment than those that deploy AI first and audit later.<\/p>\n<h3 id=\"how-do-we-justify-the-cost-of-an-external-diagnostic-to-senior-leadership\">How do we justify the cost of an external diagnostic to senior leadership?<\/h3>\n<p>The most direct justification is the fee structure itself. A diagnostic engagement that finds less than \u00a3100,000 in annual savings costs the client nothing. That framing removes the primary barrier to internal approval. The question is not whether the fee is justified, but whether the operation is willing to find out exactly where its money is going. Most transport directors find that framing straightforward to bring to a CFO.<\/p>\n<p>If you have lived through a TMS replacement that did not deliver the promised efficiency gains, or if you are currently evaluating one, we would genuinely like to hear what you found to be the most persistent gap between the projected and actual outcomes.<\/p>\n<h2 id=\"references\">References<\/h2>\n<ul>\n<li>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.mckinsey.com\">McKinsey and Company: research on technology transformation outcomes and enterprise implementation success rates across logistics and supply chain sectors<\/a><\/p>\n<\/li>\n<li>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.statista.com\">Statista: UK transport and logistics sector cost data, fleet utilisation benchmarks, and technology adoption statistics<\/a><\/p>\n<\/li>\n<li>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.forbes.com\">Forbes: analysis of fleet management investment trends, logistics technology ROI, and operational efficiency strategies for transport operators<\/a><\/p>\n<\/li>\n<li>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.gartner.com\">Gartner: supply chain technology research, TMS replacement outcome data, and decision logic frameworks for logistics operations<\/a><\/p>\n<\/li>\n<li>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.gov.uk\">UK Government: Department for Transport statistics on road freight, fleet operations, and logistics sector cost structures in Great Britain<\/a><\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>System replacement rarely fixes transport operations UK cost leaks. Learn why decision logic, not software, drives inefficiency and how to fix it without disruption.<\/p>\n","protected":false},"author":1,"featured_media":31,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_google_business_share_type":"","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[1],"tags":[39,38,40,17],"class_list":["post-30","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorised","tag-fleet-optimisation-without-disruption","tag-no-system-replacement-logistics","tag-transport-ai-uk","tag-transport-operations-uk"],"_links":{"self":[{"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/posts\/30","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/comments?post=30"}],"version-history":[{"count":0,"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/posts\/30\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/media\/31"}],"wp:attachment":[{"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/media?parent=30"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/categories?post=30"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/flow-dynamics.co\/blog\/wp-json\/wp\/v2\/tags?post=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}