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But according to a recent industry roundtable hosted by Logistics Management and sponsored by enVista, Locus Robotics, Oracle NetSuite, and Paccurate, the conversation has shifted. The question isn't which technologies to deploy anymore. It's how they all work together.",[432],{"type":433,"attrs":434},"textStyle",{"color":435},"#3A3A3A",{"type":317,"attrs":437,"content":438},{"textAlign":332},[439],{"text":440,"type":321,"marks":441},"Michael Levans, Group Editorial Director at Peerless Media Supply Chain Group, moderated the discussion with four panelists:",[442],{"type":433,"attrs":443},{"color":435},{"type":317,"attrs":445,"content":446},{"textAlign":332},[447,453,467,473,478],{"text":448,"type":321,"marks":449},"●      ",[450],{"type":433,"attrs":451},{"color":452},"#000000",{"text":454,"type":321,"marks":455},"George Borza",[456,462,465],{"type":457,"attrs":458},"link",{"href":459,"uuid":332,"anchor":332,"custom":460,"target":461,"linktype":133},"https://www.linkedin.com/in/george-borza-61aa90/",{},"_self",{"type":433,"attrs":463},{"color":464},"#322564",{"type":466},"bold",{"text":468,"type":321,"marks":469}," — ",[470,472],{"type":433,"attrs":471},{"color":464},{"type":466},{"text":474,"type":321,"marks":475},"Customer Success Advisor, ",[476],{"type":433,"attrs":477},{"color":435},{"text":479,"type":321,"marks":480},"Oracle NetSuite",[481,485],{"type":457,"attrs":482},{"href":483,"uuid":332,"anchor":332,"custom":484,"target":461,"linktype":133},"https://www.netsuite.com/portal/home.shtml",{},{"type":433,"attrs":486},{"color":435},{"type":317,"attrs":488,"content":489},{"textAlign":332},[490,494,504,509,514],{"text":448,"type":321,"marks":491},[492],{"type":433,"attrs":493},{"color":452},{"text":495,"type":321,"marks":496},"Suneel Krishnaswamy",[497,501,503],{"type":457,"attrs":498},{"href":499,"uuid":332,"anchor":332,"custom":500,"target":461,"linktype":133},"https://www.linkedin.com/in/suneelkrishnaswamy/",{},{"type":433,"attrs":502},{"color":464},{"type":466},{"text":468,"type":321,"marks":505},[506,508],{"type":433,"attrs":507},{"color":464},{"type":466},{"text":510,"type":321,"marks":511},"Chief Technology Officer, ",[512],{"type":433,"attrs":513},{"color":435},{"text":515,"type":321,"marks":516},"enVista",[517,521],{"type":457,"attrs":518},{"href":519,"uuid":332,"anchor":332,"custom":520,"target":461,"linktype":133},"https://envistacorp.com/",{},{"type":433,"attrs":522},{"color":435},{"type":317,"attrs":524,"content":525},{"textAlign":332},[526,530,540,545,550],{"text":448,"type":321,"marks":527},[528],{"type":433,"attrs":529},{"color":452},{"text":531,"type":321,"marks":532},"James Malley",[533,537,539],{"type":457,"attrs":534},{"href":535,"uuid":332,"anchor":332,"custom":536,"target":461,"linktype":133},"https://www.linkedin.com/in/jmalley/",{},{"type":433,"attrs":538},{"color":464},{"type":466},{"text":468,"type":321,"marks":541},[542,544],{"type":433,"attrs":543},{"color":464},{"type":466},{"text":546,"type":321,"marks":547},"Co-Founder and CEO, ",[548],{"type":433,"attrs":549},{"color":435},{"text":551,"type":321,"marks":552},"Paccurate",[553,557],{"type":457,"attrs":554},{"href":339,"uuid":555,"anchor":332,"custom":556,"target":461,"linktype":28},"c8125e6b-2ce2-4d5c-87df-a0ee8064260c",{},{"type":433,"attrs":558},{"color":435},{"type":317,"attrs":560,"content":561},{"textAlign":332},[562,566,576,581,586],{"text":448,"type":321,"marks":563},[564],{"type":433,"attrs":565},{"color":452},{"text":567,"type":321,"marks":568},"Hamid Montazeri",[569,573,575],{"type":457,"attrs":570},{"href":571,"uuid":332,"anchor":332,"custom":572,"target":461,"linktype":133},"https://www.linkedin.com/in/hmontazeri/",{},{"type":433,"attrs":574},{"color":464},{"type":466},{"text":468,"type":321,"marks":577},[578,580],{"type":433,"attrs":579},{"color":464},{"type":466},{"text":582,"type":321,"marks":583},"SVP, Software and AI, ",[584],{"type":433,"attrs":585},{"color":435},{"text":587,"type":321,"marks":588},"Locus Robotics",[589,593],{"type":457,"attrs":590},{"href":591,"uuid":332,"anchor":332,"custom":592,"target":461,"linktype":133},"https://locusrobotics.com/",{},{"type":433,"attrs":594},{"color":435},{"type":317,"attrs":596,"content":597},{"textAlign":332},[598],{"text":599,"type":321,"marks":600},"Below is a Q&A recap of the conversation, condensed for readability but keeping each panelist's own words and perspective intact.",[601,603],{"type":433,"attrs":602},{"color":435},{"type":604},"italic",{"type":606,"attrs":607,"content":609},"heading",{"level":608,"textAlign":332},3,[610],{"text":611,"type":321,"marks":612},"What does the modern warehouse look like in 2026, and what's driving investment?",[613,615],{"type":433,"attrs":614},{"color":464},{"type":466},{"type":317,"attrs":617,"content":618},{"textAlign":332},[619,626],{"text":620,"type":321,"marks":621},"Suneel Krishnaswamy (enVista): ",[622,625],{"type":433,"attrs":623},{"color":624},"#D42D85",{"type":466},{"text":627,"type":321,"marks":628},"“The core function of the warehouse has not changed. It still remains the same. The core metrics that warehouses are being measured [on] remain the same. But what has changed is they're being asked to handle [a] diverse mix of orders.” He pointed to e-commerce layering onto traditional retail fulfillment, and to emerging categories like quick commerce in markets such as India, where “they're promising deliveries within 10, 15 minutes.” That, he said, forces warehouses to “be flexible” and “very nimble in terms of reprioritizing.” He also noted that “the cost of automation has gone down relatively, and the ROIs become attractive for even mid-sized warehouses.”",[629],{"type":433,"attrs":630},{"color":435},{"type":317,"attrs":632,"content":633},{"textAlign":332},[634,640],{"text":635,"type":321,"marks":636},"Hamid Montazeri (Locus Robotics): ",[637,639],{"type":433,"attrs":638},{"color":624},{"type":466},{"text":641,"type":321,"marks":642},"“Especially with the impact of COVID, the already very complex environment of warehouse automation became even more sensitive to three really main characteristics: having flexibility, scalability, and resilience.” He tied this to persistent labor constraints, rising customer expectations for speed, “phenomenal” SKU growth, and demand variability — all of which point toward warehouses that are “more and more automated, more and more intelligent, and more and more enabled by robotics.”",[643],{"type":433,"attrs":644},{"color":435},{"type":317,"attrs":646,"content":647},{"textAlign":332},[648,654],{"text":649,"type":321,"marks":650},"George Borza (Oracle NetSuite): ",[651,653],{"type":433,"attrs":652},{"color":624},{"type":466},{"text":655,"type":321,"marks":656},"“I would describe the 2026 warehouse as shifting from automation over to more orchestration. So companies are asking not just, ‘How do we automate this task?’ They're asking, ‘How do we connect the people, the AI, the inventory, order demand, and financial systems so that warehouses can respond in real time?’” He added a caution: “Automation is only going to be as good as the system of record and the process design behind [it]... If we focus too much on only automation... we can just make a bad process move much more quickly.”",[657],{"type":433,"attrs":658},{"color":435},{"type":606,"attrs":660,"content":661},{"level":608,"textAlign":332},[662],{"text":663,"type":321,"marks":664},"Where are the biggest operational challenges today?",[665,667],{"type":433,"attrs":666},{"color":464},{"type":466},{"type":317,"attrs":669,"content":670},{"textAlign":332},[671,677],{"text":672,"type":321,"marks":673},"James Malley (Paccurate): ",[674,676],{"type":433,"attrs":675},{"color":624},{"type":466},{"text":678,"type":321,"marks":679},"“There's probably an economic challenge — maybe even call it economic orchestration — where a lot of the costs outside of the warehouse [are] affected by decisions inside the warehouse.” He pointed to transportation costs and out-of-warehouse labor, like store replenishment, as areas shippers struggle to reconcile: “There's a real challenge trying to make sure that [the] full network, the fully landed cost of any given shipment[,] incorporates all of those things instead of just... one area they're optimizing around.”",[680],{"type":433,"attrs":681},{"color":435},{"type":317,"attrs":683,"content":684},{"textAlign":332},[685,691],{"text":686,"type":321,"marks":687},"Suneel Krishnaswamy: ",[688,690],{"type":433,"attrs":689},{"color":624},{"type":466},{"text":692,"type":321,"marks":693},"He described a common mismatch between expectations and reality once automation goes in, often because “the parameters... are not understood very well by everybody involved.” Order mix can drift from what a system was originally designed around, and operators sometimes distrust the software's recommendations: a system might say four stations are more efficient than seven, “but warehouse managers have some hesitancy in blindly trusting a system because they have been used to doing it a certain way for so long.” He called out the need for ongoing training as teams learn to trust these systems.",[694],{"type":433,"attrs":695},{"color":435},{"type":317,"attrs":697,"content":698},{"textAlign":332},[699,705],{"text":700,"type":321,"marks":701},"George Borza: ",[702,704],{"type":433,"attrs":703},{"color":624},{"type":466},{"text":706,"type":321,"marks":707},"He named the familiar pain points — “weak inventory accuracy or disconnected systems,” and labor planning that's “too reactive” — and urged clarity before buying automation: “Before buying automation and maybe layering AI on top of that, just be clear about the problem that needs to be addressed.” He added that “having a good connected WMS system... should be part of the strategy from day one.”",[708],{"type":433,"attrs":709},{"color":435},{"type":317,"attrs":711,"content":712},{"textAlign":332},[713,719],{"text":714,"type":321,"marks":715},"Hamid Montazeri: ",[716,718],{"type":433,"attrs":717},{"color":624},{"type":466},{"text":720,"type":321,"marks":721},"He framed the challenge around four “golden rules” of warehouse automation — throughput, cost per unit processed, cycle time, and exception handling — and warned against siloed automation: “it's better than no automation, but creates a suboptimal environment.” He also raised the cost of designing fixed automation for worst-case peak volume, when “very expensive systems... actually are not used fully until you get to the peak time.” Locus's answer, he said, is pushing intelligence to the edge and pairing robots with system-directed labor tools like Locus Hopper, which “allows interaction and guidance from robot to the associate” and surfaces data customers can use to optimize operations.",[722],{"type":433,"attrs":723},{"color":435},{"type":606,"attrs":725,"content":726},{"level":608,"textAlign":332},[727],{"text":728,"type":321,"marks":729},"What does “orchestration” actually mean in practice?",[730,732],{"type":433,"attrs":731},{"color":464},{"type":466},{"type":317,"attrs":734,"content":735},{"textAlign":332},[736,741],{"text":686,"type":321,"marks":737},[738,740],{"type":433,"attrs":739},{"color":624},{"type":466},{"text":742,"type":321,"marks":743},"“Orchestration [is]... the art and science of coordination and sequencing of all the subsystems within the warehouse to affect a maximum throughput for the warehouse. Optimizing locally for each subsystem is important, but if you just do it independently, it may not yield the desired result.” He compared it to power distribution across a car's wheels: equal power straight ahead, more power to the outer wheels on a turn — “knowing what to accelerate, what to slow down so that there are no choke points.”",[744],{"type":433,"attrs":745},{"color":435},{"type":317,"attrs":747,"content":748},{"textAlign":332},[749,754],{"text":714,"type":321,"marks":750},[751,753],{"type":433,"attrs":752},{"color":624},{"type":466},{"text":755,"type":321,"marks":756},"“Orchestration at its core is about looking at the jobs that need to be accomplished and dividing it into tasks and sub-tasks, and then allocating it to the different units that can accomplish those tasks in a way that the whole thing is optimal.” He called it a genuinely multi-criteria problem — throughput, cycle time, and cost per unit rarely optimize together — and said priorities shift constantly with new orders, which is why “the orchestration layer [needs] to be a layer that is very intelligent, hopefully AI-based, that can factor in the new data, recompute everything, and come up with a new task allocation.”",[757],{"type":433,"attrs":758},{"color":435},{"type":317,"attrs":760,"content":761},{"textAlign":332},[762,768],{"text":763,"type":321,"marks":764},"James Malley: ",[765,767],{"type":433,"attrs":766},{"color":624},{"type":466},{"text":769,"type":321,"marks":770},"“Connected systems making locally optimal choices can still create globally bad outcomes.” He added a layer beyond the four walls: “Orchestration at the network level” — coordinating across a network of warehouses and 3PLs running different WMS platforms and different automation, all working “towards the same outcomes.” His metaphor: “An orchestra isn't just musicians that hear each other, it's musicians with different instruments that are all playing from the same score. And so that kind of shared decision layer, whether it's in the building or across a network — that's orchestration to me.”",[771],{"type":433,"attrs":772},{"color":435},{"type":606,"attrs":774,"content":775},{"level":608,"textAlign":332},[776],{"text":777,"type":321,"marks":778},"What are the biggest obstacles to connecting all these systems?",[779,781],{"type":433,"attrs":780},{"color":464},{"type":466},{"type":317,"attrs":783,"content":784},{"textAlign":332},[785,790],{"text":714,"type":321,"marks":786},[787,789],{"type":433,"attrs":788},{"color":624},{"type":466},{"text":791,"type":321,"marks":792},"He pointed to enterprise-system readiness and API flexibility as the two recurring blockers: “We do see occasionally organizations that know what they want to do in terms of the workflow, but their enterprise systems are not ready to accommodate that workflow.” The art of good automation, he said, is “to anticipate this flexibility that is needed in integrating with the enterprise systems in order to accommodate the nuanced parameters and the new conditions that will come in.”",[793],{"type":433,"attrs":794},{"color":435},{"type":317,"attrs":796,"content":797},{"textAlign":332},[798,803],{"text":686,"type":321,"marks":799},[800,802],{"type":433,"attrs":801},{"color":624},{"type":466},{"text":804,"type":321,"marks":805},"He flagged the complexity of exception handling once automation is involved — spills, missing inventory in a presented tote, and similar edge cases: “The number of exception cases are a little higher in this situation. So having a good design and software that handles those exceptions... is going to be very important.”",[806],{"type":433,"attrs":807},{"color":435},{"type":317,"attrs":809,"content":810},{"textAlign":332},[811,816],{"text":700,"type":321,"marks":812},[813,815],{"type":433,"attrs":814},{"color":624},{"type":466},{"text":817,"type":321,"marks":818},"“Over time, companies have added a lot of great automation. And the risk is that many times when you do that, a lot of the automation can actually start operating in its own silo,” resulting in “disconnected inventory, inconsistent master data,” custom integrations, and limited real-time visibility. His conclusion: “The companies that are gonna get the most value from the automation aren't necessarily going to have the most robots or the most automation. They're gonna be the ones that are gonna have the best connected systems.”",[819],{"type":433,"attrs":820},{"color":435},{"type":606,"attrs":822,"content":823},{"level":608,"textAlign":332},[824],{"text":825,"type":321,"marks":826},"Beyond the hype, where is AI actually delivering value today?",[827,829],{"type":433,"attrs":828},{"color":464},{"type":466},{"type":317,"attrs":831,"content":832},{"textAlign":332},[833,838],{"text":686,"type":321,"marks":834},[835,837],{"type":433,"attrs":836},{"color":624},{"type":466},{"text":839,"type":321,"marks":840},"He named concrete, already-deployed use cases: “robotic vision for palletizers, depalletizers... cycle count... OCR for scanning shipping documents,” damage detection on receiving and shipping, and pick-accuracy checks using cameras at stations to confirm the right item and quantity were picked. He also pointed to multilingual conversational interfaces and agentic AI “leveraging the APIs that are already there.”",[841],{"type":433,"attrs":842},{"color":435},{"type":317,"attrs":844,"content":845},{"textAlign":332},[846,851],{"text":714,"type":321,"marks":847},[848,850],{"type":433,"attrs":849},{"color":624},{"type":466},{"text":852,"type":321,"marks":853},"He drew a distinction between the explainable AI that's powered autonomous systems for years. Locus robots have driven “150 million miles autonomously,” he noted and the newer probabilistic, frontier-model capabilities are now layering on top. He connected this directly to Locus's system-directed labor capability, which optimizes “the labor robot and throughput interaction” and is “entirely based on these... new models of AI.”",[854],{"type":433,"attrs":855},{"color":435},{"type":317,"attrs":857,"content":858},{"textAlign":332},[859,864],{"text":700,"type":321,"marks":860},[861,863],{"type":433,"attrs":862},{"color":624},{"type":466},{"text":865,"type":321,"marks":866},"He was careful to frame AI's role around augmentation, not replacement: “Where I see AI creating a lot of value is not in just replacing the warehouse team, but really improving the quality and the speed of the decisions available to the team and the managers.” He pointed to demand forecasting, inventory positioning, pick-path optimization, and labor planning as the strongest use cases, with one caveat: “AI is only going to be as good as the operational data behind it.”",[867],{"type":433,"attrs":868},{"color":435},{"type":606,"attrs":870,"content":871},{"level":608,"textAlign":332},[872],{"text":873,"type":321,"marks":874},"How are leading organizations using operational data today?",[875,877],{"type":433,"attrs":876},{"color":464},{"type":466},{"type":317,"attrs":879,"content":880},{"textAlign":332},[881,886],{"text":700,"type":321,"marks":882},[883,885],{"type":433,"attrs":884},{"color":624},{"type":466},{"text":887,"type":321,"marks":888},"“Organizations should be using the operational data as a control tower to help manage the warehouse... they shouldn't just be reporting on yesterday's performance, but... using real-time signals to decide what work needs to happen next.” He described the shift as moving “from just visibility to actionability.”",[889],{"type":433,"attrs":890},{"color":435},{"type":317,"attrs":892,"content":893},{"textAlign":332},[894,899],{"text":763,"type":321,"marks":895},[896,898],{"type":433,"attrs":897},{"color":624},{"type":466},{"text":900,"type":321,"marks":901},"“We have a maxim we've developed that you should always measure against perfect, not yesterday.” He explained that most dashboards just compare this week to last, which measures drift but not opportunity: “If you have the good data... to always have a sense of what perfect is for your operation, then by definition your dashboard is actionable. You get a quantified kind of to-do list of what needs to be fixed next.”",[902],{"type":433,"attrs":903},{"color":435},{"type":317,"attrs":905,"content":906},{"textAlign":332},[907,912],{"text":686,"type":321,"marks":908},[909,911],{"type":433,"attrs":910},{"color":624},{"type":466},{"text":913,"type":321,"marks":914},"He emphasized that granular automation data now feeds orchestration systems directly, not just human operators, enabling predictive rather than historical visibility: “It is important to know what has happened so far, but far more important to know what's going to happen.” That includes early warning on SLA risk, giving operators time to plan extra labor hours or re-prioritize orders before they slip.",[915],{"type":433,"attrs":916},{"color":435},{"type":317,"attrs":918,"content":919},{"textAlign":332},[920,925],{"text":714,"type":321,"marks":921},[922,924],{"type":433,"attrs":923},{"color":624},{"type":466},{"text":926,"type":321,"marks":927},"He noted the sheer scale of the data problem. Locus generates “30 gigabytes of data per second” across its robot fleet and described how that data flows into Locus Hub for real-time KPI tracking, fleet visibility, and SLA-path prediction, feeding back into system-directed labor to keep improving performance across single sites and multi-site networks alike.",[928],{"type":433,"attrs":929},{"color":435},{"type":606,"attrs":931,"content":932},{"level":608,"textAlign":332},[933],{"text":934,"type":321,"marks":935},"How should companies balance immediate needs with long-term scalability?",[936,938],{"type":433,"attrs":937},{"color":464},{"type":466},{"type":317,"attrs":940,"content":941},{"textAlign":332},[942,947],{"text":763,"type":321,"marks":943},[944,946],{"type":433,"attrs":945},{"color":624},{"type":466},{"text":948,"type":321,"marks":949},"“Always a good place to start: quantify the gap between how you operate today and how you could possibly operate with what you already have.” That baseline, he said, is what makes any subsequent automation investment meaningful.",[950],{"type":433,"attrs":951},{"color":435},{"type":317,"attrs":953,"content":954},{"textAlign":332},[955,960],{"text":686,"type":321,"marks":956},[957,959],{"type":433,"attrs":958},{"color":624},{"type":466},{"text":961,"type":321,"marks":962},"“You have to look at your automation as a journey, not a point in time,” especially in brownfield environments where automation is layered onto existing operations incrementally, without disrupting current output. He added that hardware alone isn't the point, “it's also making sure you have the right software that can leverage that automation.”",[963],{"type":433,"attrs":964},{"color":435},{"type":317,"attrs":966,"content":967},{"textAlign":332},[968,973],{"text":714,"type":321,"marks":969},[970,972],{"type":433,"attrs":971},{"color":624},{"type":466},{"text":974,"type":321,"marks":975},"He agreed the goal should be a clear destination paired with built-in flexibility, and pointed to autonomous robots as a low-risk way to start: “You can start with a small fleet, expand it,” with ROI often achievable “within 6 to 12 months” rather than the multi-year payback of large fixed systems.",[976],{"type":433,"attrs":977},{"color":435},{"type":606,"attrs":979,"content":980},{"level":608,"textAlign":332},[981],{"text":982,"type":321,"marks":983},"Looking three to five years out, where is this all headed?",[984,986],{"type":433,"attrs":985},{"color":464},{"type":466},{"type":317,"attrs":988,"content":989},{"textAlign":332},[990,995],{"text":763,"type":321,"marks":991},[992,994],{"type":433,"attrs":993},{"color":624},{"type":466},{"text":996,"type":321,"marks":997},"“I think there's a lot more runway in physical devices and robotics for AI than we're currently seeing deployed today.” He expects the industry to settle into “a nice division between deterministic systems and AI systems,” with best practices maturing over the next five years.",[998],{"type":433,"attrs":999},{"color":435},{"type":317,"attrs":1001,"content":1002},{"textAlign":332},[1003,1008],{"text":700,"type":321,"marks":1004},[1005,1007],{"type":433,"attrs":1006},{"color":624},{"type":466},{"text":1009,"type":321,"marks":1010},"“The winners are gonna be the companies that are able to tie it all together”. The WMS, labor, transportation, and customer promise data need to be in one operating model. He added that “clean data is going to be the currency of AI.”",[1011],{"type":433,"attrs":1012},{"color":435},{"type":317,"attrs":1014,"content":1015},{"textAlign":332},[1016,1021],{"text":686,"type":321,"marks":1017},[1018,1020],{"type":433,"attrs":1019},{"color":624},{"type":466},{"text":1022,"type":321,"marks":1023},"He expects systems to move further into managing exceptions themselves, with human involvement increasingly reserved for the hardest cases: “It's going to be more of a supervision and keeping an eye than actually managing the exceptions.”",[1024],{"type":433,"attrs":1025},{"color":435},{"type":317,"attrs":1027,"content":1028},{"textAlign":332},[1029,1034],{"text":714,"type":321,"marks":1030},[1031,1033],{"type":433,"attrs":1032},{"color":624},{"type":466},{"text":1035,"type":321,"marks":1036},"He predicted more intelligence pushed to the edge, with orchestration becoming “hybrid”, giving highly capable components like autonomous robots a general goal to accomplish, while still directing simpler systems step by step. His advice to operators: “Start avoiding inflexible systems... that cannot be evolved into being more intelligent, because that would lock them into effectively legacy systems.”",[1037],{"type":433,"attrs":1038},{"color":435},{"type":317,"attrs":1040,"content":1041},{"textAlign":332},[1042,1048,1058],{"text":1043,"type":321,"marks":1044},"This recap is based on a live panel discussion hosted by Logistics Management on Thursday, July 16th, 2026 and co-sponsored by enVista, Locus Robotics, Oracle NetSuite, and Paccurate. ",[1045,1047],{"type":433,"attrs":1046},{"color":464},{"type":604},{"text":1049,"type":321,"marks":1050},"Watch the entire session on-demand here",[1051,1055,1057],{"type":457,"attrs":1052},{"href":1053,"uuid":332,"anchor":332,"custom":1054,"target":461,"linktype":133},"https://hubs.ly/Q04qJyS00",{},{"type":433,"attrs":1056},{"color":464},{"type":604},{"text":1059,"type":321,"marks":1060},".",[1061,1063],{"type":433,"attrs":1062},{"color":464},{"type":604},"2026-07-24 00:00",{"_uid":1066,"text":1067,"links":1074,"headline":1080,"component":329},"cbf5adcf-e775-4341-aedb-44303e1356ba",{"type":314,"content":1068},[1069],{"type":317,"attrs":1070,"content":1071},{"textAlign":332},[1072],{"text":1073,"type":321},"Looking to find out where your operation stands and identify opportunities to reduce shipping costs, improve efficiency, and eliminate waste? Check out our Packing Scorecard.",[1075],{"_uid":1076,"link":1077,"text":1079,"variant":305,"hasArrow":327,"component":306},"56c032ec-5059-4884-87ad-95883deedf2f",{"id":13,"url":1078,"linktype":133,"fieldtype":29,"cached_url":1078},"https://scorecard.paccurate.io/packing-assessment-scorecard","Get Your Score","Benchmark Your Packing Operation","page","warehouse-orchestration-in-2026","posts/warehouse-orchestration-in-2026",-550,[1086],"News",44289634,"949852c5-779a-408a-8e71-6c2f9b6e9255","2026-07-24T17:32:18.152Z",[],[],[],{"cache-control":345,"connection":346,"content-encoding":347,"content-type":348,"date":1094,"etag":1095,"referrer-policy":351,"sb-be-version":352,"server":353,"transfer-encoding":354,"vary":355,"via":1096,"x-amz-cf-id":1097,"x-amz-cf-pop":358,"x-cache":359,"x-content-type-options":360,"x-frame-options":361,"x-permitted-cross-domain-policies":362,"x-request-id":1098,"x-runtime":1099,"x-xss-protection":365},"Fri, 24 Jul 2026 18:19:16 GMT","W/\"7ab3e17259b45d1c06ae01e27cc5534e\"","1.1 7d14d4fc1c149f1d429681a4c414c21a.cloudfront.net (CloudFront)","oADOZIARI7MY9uJ2qRTRcd8ei_Bu1jpC3CGNxWoIePZNSFc_oiwGUw==","7a1afeac-eb13-4920-8ea0-b1899b15aa31","0.030733",1784917155072]