<?xml version="1.0" encoding="UTF-8" ?><!-- generator=Zoho Sites --><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><atom:link href="https://www.rattusapps.com/blogs/tag/bigdata/feed" rel="self" type="application/rss+xml"/><title>Rattusapps - Cloud-based Warehouse Management System - Blogs #bigdata</title><description>Rattusapps - Cloud-based Warehouse Management System - Blogs #bigdata</description><link>https://www.rattusapps.com/blogs/tag/bigdata</link><lastBuildDate>Fri, 12 Dec 2025 10:41:11 +0530</lastBuildDate><generator>http://zoho.com/sites/</generator><item><title><![CDATA[The Pitfalls of Traditional Warehouses]]></title><link>https://www.rattusapps.com/blogs/post/traditionalwarehouse</link><description><![CDATA[<img align="left" hspace="5" src="https://www.rattusapps.comhttps://images.unsplash.com/photo-1601598852806-524f0060508e?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=Mnw0NTc5N3wwfDF8c2VhcmNofDEwfHx3YXJlaG91c2V8ZW58MHx8fHwxNjMwNjY2MzQ3&amp;ixlib=rb-1.2.1&amp;q=80&amp;w=1080"/>The recent boom of the e-commerce sector has propelled warehousing to the centre stage. It has exposed the loopholes that existed within the industry's fabric and perpetuated the need for digital transformation.]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_MxmXZV-XSEyAvWKvGlLSAQ" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_LdjB2936SQ6W9kvbnF6ghA" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_dV8FfrdmThu_gDTXKR776g" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_SKoigYvVTyaIDBOLEsDWOA" data-element-type="heading" class="zpelement zpelem-heading "><style></style><h2
 class="zpheading zpheading-align-center " data-editor="true"><span style="color:inherit;">The recent boom of the e-commerce sector has propelled warehousing to the centre stage. It has exposed the loopholes that existed within the industry's fabric and perpetuated the need for digital transformation. The following article tries to throw light on these shortcomings ang how they can be overcome with the help of tech-enabled support systems.</span></h2></div>
<div data-element-id="elm_CqOvg5ASRdORuV0Wb14AjA" data-element-type="text" class="zpelement zpelem-text "><style> [data-element-id="elm_CqOvg5ASRdORuV0Wb14AjA"].zpelem-text { border-radius:1px; } </style><div class="zptext zptext-align-center " data-editor="true"><div style="color:inherit;"><div style="color:inherit;"><p style="text-align:left;"><span style="font-size:20px;">With the exponential rise of the e-commerce platforms in recent years, the importance of warehouses has taken the centre stage in the supply chain network. From a layman’s perspective, a warehouse is nothing but a space where products and raw materials are stored before they are finally dispatched to manufacturers or consumers. However, those who are insiders in the industry know how warehouse is that significant cog in the wheel of the supply chain that keeps the balls rolling. Unless there is an optimized, efficient warehouse at the helm, the whole process of manufacturing and distribution would receive flak. The whole supply chain is dependent on the efficacy of warehouse that demands special attention in the 21st century.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">Since the sales velocity and the operational complexity have increased and multiple layers have been added to the supply chain network, warehouses across the world have gone for a digital overhauling. Warehouse management systems that monitor the end-to-end operations of warehouses, coupled with measures taken in favor of automation have changed the face of warehousing for good. However, there are managers who are either still cynical or nonchalant about strengthening their operations. This is mainly because either their business is too small to afford the digital boon or they are skeptical about the expenses they would incur. It must be noted that the fear of expenditure is nothing but a myth as properly implemented digital transformation always leads to handsome ROI in the due course of time and because of that even the small and medium business organizations are also taking the baton forward. Hence, in this article, we would try to highlight the limitations that a traditional warehouse would have that can be easily overcome with the sensible adaptation of digitalization.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">1.&nbsp; Accidents and Mishaps: Warehousing is a heavily labor-intensive process. A lot of workers serve the warehouse floor and they are susceptible to accidents. They need to handle items of various sizes in copious amounts. If they handle it manually, a lot of physical strain occurs that can dwindle their productivity. Additionally, the mental strain of recalling the exact locations of all items and pick-paths and accomplishing multiple targets in a stipulated deadline can be strenuous mentally. Moreover, improper handling of forklifts can be disastrous for the workers and can lead to fatal injuries. Warehouses that resort to automation processes employ AI/ML that can perform plenty of tasks at a greater speed with little or no human intervention, causing little threat of unfortunate occurrences.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">2.&nbsp; Problem of Space: Warehouse is an expensive space and every inch of it counts. Since traditional warehousing is intensely manned, a lot of errors can crop up in the course of operations. One of them is faulty space utilization. Due to the miscalculations on the part of the executives, many times items are stashed wrongly which leads to stockpiling at one place and stock-out at another. Warehouse management system is a software solution that efficiently deals with this problem of space and helps in the seamlessness of operations.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">3.&nbsp; Wastage of Time: Traditional warehouses do not leverage resources and picking options optimally. Resultantly executives run extra distance empty-handed and a lot of fallow time creeps into operations. Warehouse management system generates the most useful pick-path for the workers and introduces various picking options like wave picking and batch picking. Additionally, through features such as task-interleaving, various operations are yoked together so that optimum results can be achieved. Workers just have to follow the instructions given by WMS and it frees them from the hassle of registering all the routes and locations mentally. The operational time that is freed up can be sensibly utilized in other constructive work such as getting trained and upgraded. Traditional warehouses with human planners have a tough time routing and re-routing paths that get completely eliminated in tech-savvy distribution centres.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">4.&nbsp; The Rut of Documentation: Warehousing is a process that entails a lot of documentation. Most of these documents are manually registered and maintained. This huge pile of documents can easily get misplaced or can be manhandled. The misplacement can not only lead to delays and demurrage, but also pilferage that can incur huge losses for the companies. Again a lot of useful time and resources get grossly wasted in locating the exact documents from the heaps of papers. Furthermore, an overt dependence on paper-based work can be detrimental to the sustainability missions of the companies. And it is a proven fact that the organizations that have clear eco-friendly objectives earn goodwill in the contemporary markets.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">5.&nbsp; Issues Related to Scanning: Most of the traditional warehouses do not have scanners to single out items and that can cost workers a lot of mental and physical strain. Even those warehouses that have barcode scanning systems harbor their own set of problems. Barcode scanners cannot scan items that are placed at a particular distance or have any other object hindering their view. Moreover, these scanners cannot scan multiple items at the same time and takes a lot of time in scanning all the consignments collectively. This wastage of precious working hours can be eradicated entirely with the smart application of Radio Frequency Identification Devices.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">6.&nbsp; Inventory Inaccuracy: The single biggest problem that traditional warehouses face is the complications that arise out of inaccuracy in knowing inventory level. Without a thorough grasp over the level of stock that a warehouse has, overstocking and stock-out are extremely common. In such scenarios, warehouse managers do not have a proper idea when their shelves would need replenishment. Concurrently, purchase orders are not served timely and then shelves go empty for days causing disruptive tremors across the entire supply chain. Moreover, without proper adherence to FEFO, FIFO rules, fast-moving products can get damaged. All such traditional warehouses conduct the annual audits of stocks manually and that causes shut down for a few days. However, in smart warehouses with efficacious inventory management systems, cycle counts are conducted at an intermittent period and that too simultaneously with the everyday operations, without causing breakage in the productive timeframe. </span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">7.&nbsp; J.I.T and Cross-Docking: This point can also be clubbed with the compromised warehouse spaces. E-commerce platforms have empowered consumers in such a way that they prefer same-day delivery or promptness in delivery to a greater length. Modern warehousing methodologies of just-in-time delivery or cross-docking completely corroborate to the efficiency in dealing with warehouse spaces. Without a competent workforce enabled by technology, this magnitude of proficiency would always remain elusive.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">8.&nbsp; Forecast and Analytics: One prime feature that WMS-enabled modern warehouses provide and traditional paper-based warehouses don’t is the privilege of business analytics. Business analytics is a powerful set of tools that analyses business trends in predictive and descriptive ways. These methods are extremely fruitful in presenting a strong business case. Additionally, they present a tentative forecast of the future trends that can help businesses stay afloat in times of disruptions and renders resilience to the fabric of the enterprise. This is an especially practical aspect of warehousing where customer demands have become exceedingly volatile and disruptions, both seasonal and unprecedented, have become the order of the day. The post-COVID scenario of uncertainty has cemented the need for formidable data analytics. In the traditional warehouses, where there is no scope of data curation, BI does not even exist in the whole purview. On the other hand, WMS stores individual data pertaining to manufacturers, sellers, product details, locations, shippers, and all the necessary stakeholders that create a huge pool of data that can be utilized to its hilt.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">9.&nbsp; Lack of Transparency: Traditional warehouses do not offer end-to-end visibility into their operations due to the lack of technical expertise. But in the modern day and age, stakeholders need complete transparency in the entire distribution cycle and thorough knowledge on the statuses of their consignment. The zilch of it takes away the reliability and credibility of the warehouses. Not only does WMS fulfills this age-appropriate need, but with the help of AR/VR tools, multiple parties would also be able to go through the entire process in the days to come.</span></p><p style="text-align:left;"><span style="font-size:20px;"><br></span></p><span style="font-size:20px;"></span><p style="text-align:left;"><span style="font-size:20px;">This discussion attempts to prove how traditional warehouses have started losing their sheen in the light of digital transformation and recurrent disruptions. Though a digital revamp may seem to burn a hole in the pocket, it is an extremely important and even a necessary facet of the modern supply chain. With the resurgent importance of warehousing operations, one would definitely not afford to lose sight of profitability. Spending on WMS, AI/ML, WCS etcetera are good investments. They reap the fruit of labor consistently and in their own sweet time. Thus, it is time to shrug off the slumber of indifference and adapt to the changes to keep up with the pace of time. Otherwise, obsolescence and redundancy loom large over businesses.</span></p></div></div></div>
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</div></div></div></div></div></div> ]]></content:encoded><pubDate>Fri, 03 Sep 2021 16:26:48 +0530</pubDate></item><item><title><![CDATA[Information, Interpretation, Insight: Analytics in Logistics]]></title><link>https://www.rattusapps.com/blogs/post/dataanalytics</link><description><![CDATA[<img align="left" hspace="5" src="https://www.rattusapps.comhttps://images.unsplash.com/photo-1526628953301-3e589a6a8b74?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=Mnw0NTc5N3wwfDF8c2VhcmNofDZ8fGRhdGElMjBhbmFseXNpc3xlbnwwfHx8fDE2MjMzODMwNzM&amp;ixlib=rb-1.2.1&amp;q=80&amp;w=1080"/>There is a plethora of reasons behind data being called the new gold. With the latest and advanced analytical tools, businesses and in particular, the logistics industry can avert or withstand the disruptions that may come their way]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_RkUi9GyzRPemnXOwB29oXw" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_0tIykIMXTZqxWQUJLRkgFg" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_y5uORMAPST2KWirt8Ep25w" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_t8CgsVu4S9691qSZzsWbTw" data-element-type="text" class="zpelement zpelem-text "><style></style><div class="zptext zptext-align-center " data-editor="true"><span style="color:inherit;"><p style="text-align:left;">The job of being a stakeholder in the business of supply chain is no mean thing. One has to brace himself always for the worst to hit. It is a highly vulnerable field where multiple parties are actively involved, money worth billions are at play, motley of products and services is catered and one needs to go beyond all the temporal and spatial hindrances to keep up with the changing face of the market. Yes, the market itself is volatile because the trends and the paradigm with regards to all and sundry keep on getting changed. It is an industry that has attuned itself to the dimensions of change and can handle a good amount of disruptions.</p><p style="text-align:left;"><br></p><p style="text-align:left;">The problem arises when the obstacles that come in the way of the business are unforeseen and unprecedented. It is a known adage that business of any kind must entail its own set of risks. So does the logistics industry. Hence it knows how to deal with issues that emanate from stockout, order delays, transportation capacity and so on. However, when the opponent is a stranger and the turf is unknown, the game becomes a tough call. So it happens when major incidents of failures happen or may stand at the verge of happening due to unusual occurrences, like natural calamity. And while referring to such calamitous incidents, we must mention the most ground-breaking thing that has changed the face of the world: the pandemic: Covid-19. A classic example of a double-edged sword, this rampage of malady has altered all the existing patterns and what we knew as normalcy seems to be a matter of a distant past. And along with all the trends that have been set or reinstated in these days and times, the importance of leveraging a wide range of analytical techniques has also resurfaced. The supply chain executives have come to know the newfound indispensable nature of statistics, analytics for the purpose of comprehending further disruptions, knowing the pliability of the markets, modelling or re-modelling the operations and goals and building a bastion to buttress the billion dollar industry from shutdowns or unexpected disturbances, giving rise to the dictum: ‘Data is the new gold’.</p><p style="text-align:left;"><br></p><p style="text-align:left;">Business analytics must have a wide-range of goals before it. Not only does it have the task of tracking and documenting the data but also align itself to various short-term, mid-term and long-term objectives of zeroing in on the effects of disruptions on business and thereby minimising the negative effects through the means of predicting, gauging alternative modus operandi and revamping the entire paradigm of the industry. In this article, we would briefly touch upon these various aspects of business analytics that may hold the power of rendering new identity to the industry.</p><p style="text-align:left;"><br></p><p style="text-align:left;">1.<span style="font-size:7pt;">&nbsp; </span>Track: The very rudiment of statistical analyses is the collection of data. A company must have a pool of data so that it can be leveraged and all the further actions can be undertaken on the basis of it. Hence, it is of optimum importance that companies clinch and have a good eye for data that floats everywhere around; either provided by any public or private agency or real-time data gleaned through sophisticated tools. This data provide with the help of ultra-modern gizmos, developed by artificial intelligence can be of tremendous help because unlike the past data that has been amassed by surveys and observations, they are based on the very living present, making the task of foreseeing the future easier.</p><p style="text-align:left;"><br></p><p style="text-align:left;">2.<span style="font-size:7pt;">&nbsp; </span>React: Once the data has been collected and analysed and a pattern has been discovered, it is the task of the business executives to take corrective measures on the basis of that in order to mitigate the impact and stop the occurrences from happening further. For example, with the help of WMS and service automation, warehouse authorities may come to know of the delays or the errors that are happening repetitively in a particular category of items or by an employee and through the help of standard regulations laid out by the said company, can take actions to resist further untoward happenings.<img src="https://images.unsplash.com/photo-1543286386-2e659306cd6c?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=Mnw0NTc5N3wwfDF8c2VhcmNofDEyfHxkYXRhJTIwYW5hbHlzaXN8ZW58MHx8fHwxNjIzMzgzMDcz&ixlib=rb-1.2.1&q=80&w=1080" style="text-align:center;"></p></span><span style="color:inherit;"><p style="text-align:left;"><br></p><p style="text-align:left;">3.<span style="font-size:7pt;">&nbsp; </span>Prediction: Predictive analytics is one imperative school of analytics that can fetch benefits in business modelling. Once the short-term goals in the form of immediate discrepancies are allayed, companies must focus on recapitulating the goal orientation of the companies to bring about a bigger, slower and long-term change. This conversion or convergence must take place at the policy-making table and must happen on the formidable grounds prepared by the assumptions, predictions and observations pertaining to future demands and mutability of the market. And this daunting task of customising the entire industry by adding resilience to deal with further disturbances can only successfully come into being if there is a strong data analytical module that is followed.</p><p style="text-align:left;"><br></p><p style="text-align:left;">To sum up the entire discourse, it must be mentioned that analytics has itself become a trendsetter that can be used to its hilt with the eventual intent of shaping, growing and giving a clear vision to an entire industry. In order to acclimatise business with changing environs, reaping benefits out of even the worst of the scenarios and to achieve optimisation in terms of time and resources, substantial amount of research and data interpretation must happen and happen rigorously and companies must also acknowledge its value and invest sensibly in it so that maximum ROI brings smile to all the concerned faces.</p></span></div>
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</div></div></div></div></div></div> ]]></content:encoded><pubDate>Fri, 11 Jun 2021 09:18:30 +0530</pubDate></item></channel></rss>