{"id":2239,"date":"2015-07-14T23:40:53","date_gmt":"2015-07-14T23:40:53","guid":{"rendered":"https:\/\/www.peeriosity.com\/shared-services\/articles\/?p=2239"},"modified":"2022-08-09T07:31:59","modified_gmt":"2022-08-09T07:31:59","slug":"using-workflow-automation-to-improve-overall-performance-in-order-to-cash","status":"publish","type":"post","link":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/","title":{"rendered":"Using Workflow Automation to Improve Overall Performance in Order-to-Cash"},"content":{"rendered":"<p><span style=\"font-size: medium;\">With the high-volume transaction activity found in the majority of Order-to-Cash (O2C) environments, the use of <a href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2017\/01\/utilizing-technology-to-maximize-efficiencies-in-order-to-cash-o2c\/\">workflow technology to streamline operations<\/a> is an approach more companies are embracing.\u00a0 A recent Peeriosity Peercast<sup>TM<\/sup> in the Accounts Receivable research area featured a large pharmaceutical company that has developed a powerful workflow solution to simplify their O2C operation.<\/span><\/p>\n<p><span style=\"font-size: medium;\">ARLINK is the name of this customized internally-developed solution for automating the processing of cash and handling deduction resolution utilizing SAP Workflow.\u00a0 ARLINK sits on top of SAP, but accesses the SAP functions for posting cash, creating deductions, issuing credits, creating letters, performing some offsets, and sending resolution detail to a <a href=\"https:\/\/www.investopedia.com\/terms\/c\/customer.asp\" target=\"_blank\" rel=\"noopener\">customer<\/a> via fax.<\/span><\/p>\n<p><span style=\"font-size: medium;\">The process is essentially paperless, unless paperwork is required by a customer, and uses a virtual folder for each item as the filing system.\u00a0 All documentation is created within SAP or from an outside source. Debit memos are received from the customer, checks are received from the bank and the documents are \u201cfiled\u201d in Documentum, their archiving system.\u00a0 No paper files are maintained.<\/span><\/p>\n<p><span style=\"font-size: medium;\">The following is a summary of how the workflow process takes place:<\/span><\/p>\n<ul>\n<li><span style=\"font-size: medium;\">ARLINK utilizes several inboxes within the SAP Business Workplace<\/span><\/li>\n<li><span style=\"font-size: medium;\">The type of an item determines the inbox where it resides<\/span><\/li>\n<li><span style=\"font-size: medium;\">As each item is completed and transferred to the next inbox, documents are added to the virtual folder automatically<\/span><\/li>\n<li><span style=\"font-size: medium;\">The work flows from <a href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/category\/accounts-receivable\/\">Accounts Receivable<\/a> to the Deduction Team, and then to the customer<\/span><\/li>\n<\/ul>\n<p><span style=\"font-size: medium;\">Several examples were also provided by the featured company of the various screens their team uses in ARLINK, including cash application and deduction processing.\u00a0<\/span><\/p>\n<p><span style=\"font-size: medium;\">The result of creating and implementing this custom workflow solution has been a significant increase in both productivity and overall quality of the Order-to-Cash operation at this company.<\/span><\/p>\n<p><span style=\"font-size: medium;\">There were also two iPolling<sup>TM<\/sup> questions associated with this Peercast.\u00a0 The first one looked at where the most significant opportunities exist for increased automation in the Order-to-Cash process area.\u00a0 Interestingly, of the individual process areas that were identified in the poll, Customer Payment Processing was the most popular response, with 30% of the companies selecting that option.\u00a0 Also, 30% of the respondents were companies that felt that these automation opportunities existed across Order-to-Cash and not particularly within one specific process.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" class=\"alignnone\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkEAAAFMCAIAAABDEP+5AAAgAElEQVR4nO2dfZRUxZ33e31BzWRjZpOzmrN5ht08ATnnWTbr4MkLRtckJoQsfWgiDwquRNTgQRMIjQ4EhAaEEQICjhEN0IMOLw3hReBBHBkEZoZBRnGizPoSV8YNLKIjChMYJzDk3OePgrKoqlt97+3bXbe6vp\/z+wN67q1b93bd+nTVrVsVS6fTlQAAAIBppNPpWGVlpQMAAACYRmVlJRwGAADASOAwAAAApgKHAQAAMBU4DAAAgKnAYQAAAEwFDgMAAGAqcBgAAABTgcMAAACYChwGAADAVOAwAAAApgKHAQAAMBU4DAAAgKnAYQAAAEwFDvNBZ2dneXl5LBZLp9N6c5JKpWKxWDwe7+7uzjGp6JyUcWQymVgsFovFysrKurq6dGcHFAMoVH6x12GJRELUAPmQKz3kw2QyGZ3qHg7zjvSLzj2d5ubmHj16kOqmtLS0ra0trAMBES\/XVvv1zz0DYqEKN4dFib0OI7932ILS3t5eUlJCClBjYyP3YWNjY3Sq+8AOI2fNSjo6J5UVMfNZoWeXY9UmpsNlJqwDKQhw+roIN6tZL750mwLjMQPqK2PQVxwd7HUY\/clDdcX+CKIVOvmQqC461T0cpjsvGjITqdNXk++sGnQpOOCw0LHXYbTuTiaT5BMiBgL3i4\/8l63uSb+BKBJWhJwYyC61tbWcMxS7sLBHnDJlCndoL4nQFNjOihxPir2YpaWlra2tJDV6YQOkyTaIaUNZmnk2D9K9HKYrmPveWWhHMXcKbJ7ZdLjMkM24AznMsw32c\/ZD9hDqDGQ9fcUlVaec9cTVX5ZYqqVZZfszyI7s77BcLj5XQuh19lvAvFxJkme6C02HbMBlQDyK+kuUFiq\/F9+xD3sd5gj91+S\/o0ePjjE\/hdhyKa3+Yu7VE1fmuDJK9lLvwmWVg+acta+YK7dEOIcFOymCWyJuaSoyzN757Gmq73+3vbx\/g1mvg1+HiefY2Ngo5tNL3ty+O\/YrUFxSdcpZT1xdusRSHdhhWY\/i3WGKQqsoKlkLPPfDl+sOYTMgPcqgQYOkOZdeSZKs34vv2IfVDmNb7qTMlZaW7tu3j\/yDrd\/JjUf\/y9023H3IdU5yOmQ3yLoLgd4PpIzS32XkuNxfHeHXotspc3kIdlLSRNgqiezIpqnOMJd+c3Pz0KFD3Z6CUBR7sTULtxk5LleVS6+DI\/zKFjMjrcLY6oY8Up04cSKtMdlEsmZAcfrqS+qWspe\/Zi1dYqmWZtWjwwJffHYbdaFVFBXHwy1Jn6OvXr2aexihKGn0KL76EoNdfNuw2mHsIzHy73g83tHRQRvmVGykxIiPjtgyxzX5xV9bYl9T1l3Yo7Afsve\/YnCKWLK9PA\/zdVJuiSgqHXWG2SNy+c\/qMOlefh0mvQ7qM3I7kPRnhPgLnXOYWwYUp6++pGLKbMlX\/zVr6RJLtTSrHh0W+OKz26gLraKoOB5uSa7JyJ64WADEo\/hyWLCLbxtWO4y9c9jqjP6bfRjm6HYYW+5Fh6nrC0VSuhymyDDXmeNWr0lPTdwra18i18gOxWFuWZX2JYblMLdLmrvDFF+WcQ5TFBXH2y3J7s7eYtJMckcJ4DC\/F982rHaYw9xIpKuarUPLysoqKirYIu6lule81eHmsKwvgvhth4lDLrmk\/Dosaw5zbIdJMyz2L3kZteXWK+X2lELs181rO0xRSYXbDvNuKb\/tMO7LiqzDvBda8ewU+3I\/g9wGnrgdJcd2mJeLbxu2O4z9rcQNNyotLe3Tp4\/3ak7svHYcJ5VKufXpO7L+bm4XAi245Ljc8zD6X+5Jr8fKLseTcktEUemoM5zJZGji0vaZ23M+t73E5pH0ng\/XYdInGel0WpqmL4epx9FJL6mb1738NWvpUjhMWsykz3SDXXzpmIhkMqkutIqiIv3inAsLPFVvTU0NqTekZd7tKIovUTzrYBffNmx3GPvDXOwzjPlpsjguI7gUDsu6C0U9LlH6V+lAW3G8b44n5XZl1DW+IsPiqDDxEXfMpbtVupe6HUaPG67DpNctnU5Lu6o8Okw9IlxxSXMcl6guXdJSLc2qoiD5vfiKty\/YxwHSYymKitsXFxOGI7E\/j6SZdDuK+kt0K1S+Lr5t2O4w9gbmfnmxZZfbWPGEhiu7bo98WRS7SPMZj8ebmprICBSaN+7GU4xToofz6DAvOfTrMHWG2T9x9QuXeTYPbntlHXIdc+lSy9FhXJakj0kqKytLSko8Okx9+opLSlOuqqoSS7v6r1m\/rKylWnxXLyaUYb8XX5q++nGU2\/ei6K4Q9+UG03ONNsWPGI9forSnMcDFtwrbHQasgtzzigecRYn6NC25CKBYgcOARUh7Zop+clU4DBQxcBiwC05jNsxNB4eBIgYOAwAAYCpwGAAAAFOBwwAAAJgKHAYAAMBU4DAAAACmAocBAAAwFTgMAACAqcBhRQU3Fw4oJBF80cqG8hDByw4KiaUO41aJLRqKvs7KxxcXVprhVqbi7MABko1yeeBOMPCkf3CY5djoMFroo3lv50LodZaXJbvyhGKpsxBPMHCaXlZiC4x0TqwAmcyHw0IpEt5XWsgKHKbxJo0CNjqsiCluh0WK\/DmMzmsunWrdV+LRdJj0BBOJBBwWjIjfKfnGUoeJ69OXlpa2tray65uwtz27FgO3rlJtba3bMrhipcOt6cAeRbGwkCJB58L1LKZMmSKts9yOq15dl\/uxLF1PlsuS9GKyK1Nw2XPLmNuh3dbC9pgTaW3utzC4ZY+tTKUnm\/WrdJTtQulqVWLxU5cHRQbcEsx64h5PLesJEvzeI14uu5dvNsDt7LjUDOq9pGehXldMcVkU34glwGHZ1wAU18RjV8DjtpeuUEVKsHQBRre1GWkZVSQo5oHbl+DluL4cJl0kUH0xPZ51TBAed+is60xmzYn43MVXYZBeds5hbvuqv0oCt2Y3CzlZ7lKorxshWFmSPqAKUCQ4FCfosaxy5+XxK\/O71KdiLc2sNYOvSiAejx85csTt9s96WeAwOOyzws3VDtzKrWxZ5xwmLjZIPyF3LF3kcOLEiVwThF3xnV2DfOjQoez9KU2Qyxu3vjs9WcVx1Q5zZN0U4gVh61buYrIVB3vRaO3jljHpobkvzldOuEMHKwzsXoq+ROm+6q+SJku\/RHEVU24Ze7H4qctD1gyICUrxWyS43RUn6CjLatZ7RP2VuW3m\/Xpy5+VWM6ivs\/QsyHKg4ql5uSzSb8Qq4LAsqzOTMie9G7P2a4k\/jsTfU+xRxBpEnSBXqTnuzz\/cjhvAYeJB2UT8LujsljHpobnU\/ObE7Vb3XhjYvbw8DxMLkqJscN+4R4eJSxu7lYesGVCslcyWTL9Fgktk+vTpYjln8XuPePzKxM24S+3lerLn5VYzqK+z9CzcTs3LZXE7X3uAw7LcA4ry4ddh0g4BriBSSGa8OIzNm9RhiuMGdpj0Z7hfh3m5IFkd5j0nZjnMY1+iWOe6lYd8O8zti+ASWbJkid++RPU9km+Hqc9LLBhZr7P0LKQf+roscJhd5LUd5tYl7aUHgOvx8JJg1naY4rihtMPYusCXw9QXJEA7TJ2TKDgs6+MK+o24dYVxD\/P9tsMUGRATlOK3SHg8QWniXu6RQrbD2F3U7bCsX7TYt+n2YdbLAofBYap7QNonTrYUC724Mdme3K5cUWOHmWUyGelYQXWC3G92t+dhiuPSc3d7oqa4jbmH4VyCARzGjbsTD82l5jcn+XCYtALyWJDYr5JNWTqMXnxao+gGkJaHrBnw5TDvRUJMgZ4gN7Y+mUwGuEf8Ooxrd3LHkl5P6Xm51QxZKwHxLEaPHq0YKiyekZc7xR7gsOzVljj6yM1h0o1jys4ctjYXP1cn6DBVm\/SvBMVxs6YvHfKreEHVl8PUGVMc2m0smTon4TpMzF6AgiR+WWweRLhKPyYUP3V58FKWsjrMb5EQUQwRDHCP+HWY2yX1fj3pgdxqBsV1lp5FdXW19NRoNgLcKfYAh3mqtthCqS70dHdxe+5PlZWVJSUl0gqOK8GKBNk7Mx6PkwFO6vfDuOM6zI0qTYHuK3ZSUcSRmR7HdKgzJh5avObecxKuw8TsedlX8VVycOcl1k3S4pe1PCgy4NFh4olLM6we3ChuL30Dwcs94tdhVVVV3JuL6tNXn5e0ZlBfZ+lZKG7\/rJfF7RuxBEsdBgCwCkznUazAYQCA4gcOK1bgMABA8QOHFStwGAAAAFOBwwAAAJgKHAYAAMBU4DAAAACmAocBAAAwFTgMAACAqcBhANgLN4lR1sk1AIgacBgAlqJYHRgAU4DDALCUzs7Om2++mUyvR18BtnYJD2AocBgAwHGsX8IDGAocBoyBW+2MwC3ayT3goRMLZV3tk0xbXltbq5iRiJ07XLF+N92XZLi0tLS1tZWbK51dK4BkQLqxYsp5Lzt6uWLc2cFhwCzgMGASpP51W3dDum4Tqb49OkzxWEhMnCSlOKhiJTDvG3P597uj+opRpLYDIPrAYcAkOBWx675L19WNnW9YeHeYdGyemHgikZAutM0elFs7mJUNOQo5KNdm4hZLo\/tOnDiRa5Nxi0ByO3LLN4tXjCTFNiIhMGAccBgwDHatQtZDYlcYW317dJhbJS5W\/QT1QX2tCCpuTO1C8iw2xTwuZOx2xdijYCgHMBQ4DBgG1QZ9\/EPqbnH13hAd5raas\/qgITpM2pfo0WFuV4w9ChwGDAUOA4ZBa3OyIjttA4lNIqkD8t0OYw8aosOkWvLoMLcrBkARAIcB82CHUYgjEtlHVmJFT\/5KN\/boMOlzr3Q67fGgvhzGPdYif5V2D3p0mNsVI7jpGQAjgMOAebDDENhuMW5sIbeBdAChR4dJdycpKw4azGEcnHRZvDvM7Yo5zJB9TDQFTAQOA+YhNlkonGm4epl9K6upqalHjx7eHcYlLr5xJR40mMOqqqq4l8nYjQmkV9C7wxRXDO0wYDRwGDASdvi47ryEg9ubW2FRfFcMAAcOAyZCe8byVN1rIa8OK8orBoADhwET4eaeKA7y6rCivGIAOHAYAAAAc4HDAAAAmAocBgAAwFTgMAAAAKYChwEAADAVOAwAAICpwGEAAABMBQ4DAABgKnAYAAAAU4HDAAAAmAocBgAAwFTgMAAAAKYChwEAADAVOAwAAICpwGEAAABMBQ4DAABgKnAYAAAAU4HDAACg+MlkMqWlpW1tbbozEjJwGAAgZNrb20tKSmKxWCwWS6fTurNzjkwmEztPPB7v7u62KjNwGLCCw3\/+9EB7x4H2jlVvHFr1xqGF+9+dVP8GF2Pmbbh1YjWNyY9vWbhyJ4nFaxteer2t5a1Dus8D5JeeA6dyQf9EBEbq5c7OziFDhnR1dWVNkOyVV+ERbTQ2NjY3N\/fo0aNgcpWemq7MFB9wmL0caO\/Ye+RjKqphm1\/+9\/V7vcQN9\/1WrMLE6D14xq0Tq0c+VLNw5c70s3tfer3YfgDajMJhtHZmPyEtAFJfkz+xbbXa2try8nK2UZJIJNj\/Njc39+rVq6Kigny4YcMGsm8ymSSHSKVS7PaZTKasrGzAgAFlZWXUoDRj5NDJZJLNQzwe7+joKC8vp62iRCIRj8ebmpqCHZpNU2xviZkR88xdBHos2pziDs2eDk2Z\/pdefC6H5KcGzWSkms5egMMs4kB7x6Z33l+4\/917X\/iDR13l4jBpDLx\/8YQFG6E001E4LJVKseZwXByWSqXYOp1trHDbp9Np8o9kMklqW\/JXuhmplLu6umgixBBUMzQbbk0fmrFUKkXSpEkFOzTrDI\/tMC7P4kVgtTdt2jTx0Nwl5f7LOozLId2S28UI4LAi5+DxU0+3\/mnCztZcpBWiw0SlTX58ywt73+w4lb27CUSH3B1GalLapGAretIAou2DZDLJ7kj\/ylbBMQZS3YvPfthHUEQVXPuDNQqVWeBDe3EYmxkuz+JF4C6s9NDsJeX+yzqMyyEcBiLH3iMfP9HS9h9bXwlRXflwGBuJ8UsWr23AszQjUDuM84fUYQ6jkHQ6naPD3KzJ5lns5KQ7cunfdNNNffv25Y7i99Ae22FuefbiMO7Q3CXl\/qtwGBWqiYM+4LDi4dSZ7rr\/\/nBu8ztDnt2XD3Xl22E0+g6d\/Ys5v1+3veUvp036PWgVCoexYzocxxk3blx1dTWpHEnTgVTc8+fPb2trI5Us5zCxDaQWSVYf0A\/dHMb+iVbo5L+BD52jw8SLQDegfYlcCtwl5f6rcFgikeD6XQ0CDjOeDzr\/sumd9yfVv5FXbxXSYazMJj++BS2zCKJwmHO+3qd9XLQ1MGLEiJKSEtYNsViMG8LAjekgdataJA4z\/IFU6x4dRkc9lJaW9unThx1sQnMV+NDiNtIxHWz2uDxzF4F+QjfjDs1dUul\/1e0w9uswBTjMYOoPfRTug66oOYzG90c\/tvK5l9s\/Oan7koPihw4U1J2RAkH7Kp0LhW0KcJh5nDrTvemd9+96\/tXC20uXw2j8Ys7vd+9\/R\/c3AIoZsYVU9ETq7W+\/wGEm8UHnX55oacv3464oO4zEdSPmzlm+Hc0yAAAcZgYH2jtm7X1br7qi4zASvQfPmPG7bTAZADYDh0Wa02f\/WvffH+b4SnKxOgwmAwDAYdFl0zvv5+kFr2JyGEwGgM3AYVHkQHvHL3e8rt1VBjkMJgPATuCwaPFJ15noPPcyzmGsyTB5FQA2AIdFhdNn\/7rqjUPaxxwWgcNI9B06e932Ft3fKgAgv8BhkWDvkY+j+ejLXIeRGPlQDboWAShi4DDNHDx+qpDTRNnmsJ4Dp\/YePGPx2gbd3zMAIC\/AYdo4daZ7yevvaRdS0TuMRGL8kncPfaT7OwcAhAwcpoe3Pv6zxsmiLHQYiTnLt2MufACKCThMA5veed+IsRvF57CeA6d+f\/Rjbxx8X3cRAACEAxxWUE6d6Y7+0PnidljPgVN7D56x8rmXdZcFAEAIwGGFw+j+w2JyGInJj29BvyIApgOHFQhf\/YfXjp8Zi8W+Fh9O\/vvD6m0XX3YFXRzhquu++5O1jdfPWXbRJZeym107fuYVX75qYGY3HOYxEuOXYOQ9AEYDh+Udv\/2HvYbdTVzFOew7s55kN7v6mzd+LT6ceuv6Ocsu++KXvrd4PdphvuK6EXNfer0t+7cIAIgkcFh+8dt\/+ONVO6\/82jX9Hqy8+LIrvDvsh8ufv\/Jr1\/zLfZMLILAicxiJ9LN7dZcUAEAQ4LA8Enj8IZGWW18icRXtS\/yX+yYTnxVGYEXpsJ4Dp\/5izu\/xeAwA44DD8sWqNw4FlgTnMK75dWnJ37J9hqQp9p2Zi6nS4LBgMfD+xZgpGACzgMPyQi4CUzuMPC2j\/Yr0MdjV37zxX+6bXJhhHcXqsJ4Dp35\/9GOHPziuu\/gAALwCh4VPjgJTOIw8LaOWIpuRhhd1GBm1CIcFjuvvfBQaA8AU4LCQWbj\/3Vz0QCwVY\/jOrCfJUHsC28xiH4PRbdCXGIrGMLkiAEYAh4VJjgIzJYreYT0HTu07dDampAIg+sBhoWGJwCxxGDQGgBHAYSFw+uxf7RGYPQ4jGtu9\/x3d5QsA4Aocliunz\/512p43tXsFDstT9B48AxoDILLAYTlhocBsc1jPgVP7Dp2NIR4ARBM4LCeeaGnTbhQ4rABx\/Z2PYnZgACIIHBac5w4e1a4TOKxgkRi\/BJNRARA14LCAHGjvMHotZjgsQPxizu91lzsAwAXAYUH4oPMvwza\/rN0lcFjhY87y7bpLHwDgM+Aw35w6033vC3\/QLhI4TFes296iuwwCAM4Bh\/nGwoGIcBgbvQfPwLKZAEQEOMwfS15\/T7tCtIflDus5cGrfobMxLzAAUQAO84G1AxHhMDEwTBGAKACHeeWtj\/9s7UBEOEwaC1fu1F0qI0pnZ2d5eTlZSKG0tLStzbXrtbm5uUePHo2Njd4Tz2QyJGW6F0mE\/QTYAxzmiY4\/d43a9qp2eUQk4DAaeDAmQgQWj8e7u7sdx0kkEgqNBXNYaWlpnz59kskk+SSRSPTr189vOlpob28vKSlJp9O6M1I8wGGeWLlox28Wbr\/nOWgMDrsgrr\/z0Y5TXbqLpwZ2J+Jc0D+RdhLXSEqn05lMpqysbMCAAWVlZceOHSMNNc49qVSKtLGIAtldurq6aPqlpaUPP\/ww+ZBYYd68eSQd8l9pIvQT57xL2M3YtmMsFkun01xmmpube\/XqVVFRQT7csGEDSYGq1C3z0kPQnIAcgcOy84emd6ffUzP9nppZybVTt1k9qh4OE2PCgo26S6gGFA5LpVJsw4vYIplMEreRGp94qK2tjdT7xGGk0qdaItpjJUEg++7bt6+kpKSxsZHsVV9fz7XDaAuPOlXa5qMfplIp4hXyj5qaGi4zZMtkMklURPJPT8Qt89xx0Q4LHTgsCydPfDpn7BriMBK\/Wdn0fzfZ+4IzHCaGhW+M+XUYqdPp54lEgjZuaP1O2zG0JcTuQiEftra2lpeXJ5PJRCKRTCZpOlxzijiMJMIeS9yMc9iUKVO4zLC7i\/lXZB4OyytwWBbWL2lgBUZi7qytv3y+RbtL4LCIhIVD7f32JbIucdwdxvYZOkxzjT0014bjBEMTEY8rPRbXXKODUMTMZHWYW+bhsLwCh6lobX5PFBiJmfevnrV5v3adwGERicT4JbpLa0FROIx2HpL\/JhIJUrmzQqJtNa4vkRtbqHYYcQPnCeoSmpraYXQz0p5jj8JlRu0wRebhsLwCh7nS1Xl6\/oR1bg4jMe\/JXbf\/P+v6FeEwaaSf3au7zBYOhcMcZrB7LBajrRNWSLQrb8SIEeSxFtkxkUhIuwHZxOmH7ABI6gk6WIOMXXRzmHQzemiSZy4zaocpMs89hyObYUxHWMBhrmxa3qQWGInKSRsfqLVroAccJo2+Q2fbs8aY2mHGQXRI2mEBhvsDjcBhcv6r9YgXgdF4ZMPL9rwBDYe5xYzfbdNdckFA2HYYGkkGAYdJ6D5zdtGkjb4cNv2eGnteIIPDFPHGwfd1l18ALAIOk1C75hW\/ArPqBTJzHfblf\/0p\/a199bfvJB9e3f\/uv7noYvLhl\/rG2U++8E\/fpjtecsWVZQN+nfUQP5+5Wnf5BcAi4DCekyc+nTVmVTCHWfICmaEOu7r\/3Vf+7+t7Dpxa9qNJPb7wFeKkr\/5gwt9cfClR15Vfv\/GiSy\/\/h5t++bmrrvnCP32beuvq\/ndffNnn\/+GmX3o80At739RdigGwBTiMJ3AjzJ4XyAx1GA3irSv+vnfPH0\/58r\/+lHir5\/nm15f6xlmH\/a+bH+jxha8QyXmMgfcvxpT2ABQGOOwCcm+E0SjiF8jMddjnrrqG9BkSgfVk2l6sw2hfIvWZ3wNZNc4eAI3AYRcQSiOMjaJ8gcxch5EgfYlEXVKH0S1JU+yqb\/2MKs3jIa4bMdeecfYAaAQO+4wQG2FsFN8LZKY7rOfAqVd+\/UYyrEPhMPoY7HNXXfOlvnHvwzpIYJw9AAUADvuMNU\/sCl1gNIrpBTJDHXbl12+kfvrcVdcQdbHeYn3GjvWgDqM9kF6i9+AZdi7LAkAhgcPOcfTQx\/kTGImieYHMUIf1ZJ6HUVf1dBlwzz4Goxv4GtnRE0\/FAMg\/cNg58toIo1EcL5CZ67ACx3Uj5mKAIgB5BQ5znII0wtiY93Sj0S+QwWHew8KlxQAoJHCY43ie3jfEeCS12dwXyOAw7zHw\/sW6SzcAxQwc5nR1ns7HcERPXYtmvkAGh\/kKTNsBQP6Aw5yX6t7UIrBz\/YqPv2jcC2RwmK8Y+VCN7jIOQNEChzlPzdiq0WHT76mZlVxr1gtkcJjfwGT2AOQJ2x1W4NEcipizttmUF8jgML+ByewByBO2O2zrin3a7UVj7tznjXiBDA7zG70Hz8DUUwDkA6sd1n3mrK7RHG4x8\/7V0X+BDA4LECufe1l3eQegCLHaYX9oele7tKQR8RfI4LAAcevEat3lHYAixGqHLat8Xruu3CLKL5DBYcEC3YkAhI69DovOaA5FRPMFMjgsWKA7EYDQsddhOza0aFeUl4jgC2RwWLBAdyIAoWOvw7S\/FuajNRaxF8jgsMCB7kQAwsVShx0\/dlK7mfxGdF4gg8MCB7oTAQgXSx0W2RGJ6ojIC2RwWOBAdyIA4WKpwwqzWlg+IgovkMFhuQS6EwEIERsdFsFXm\/2G3hfI4LBcAiuKARAiNjrsvbc\/0C6h3EPjC2RwWC4xYcFG3XcAAMWDjQ6rXfOKdgOFFVpeIIPDconr73xU9x0AQPFgo8N++9Bm7e4JMQr\/AhkclmN0nOrSfRMAUCRY5zATR9VnjQK\/QAaH5RhY2RmAsLDOYa\/s\/qN25eQpCvYCGRyWY8z43Tbd9wEARYJ1DovUgmGhR2FeIIPDcoyB9y\/WfR8AUCRY57Aoz1UfSsy8f\/X0rfntV4TDco+\/nO7WfSsAUAxY57A5Y9do10wB4jfL6vP3Ahkclnu89Hqb7lsBgGLALod9dPSEdrsULConbczTC2RwWO6xcOVO3XdDpMlkMqWlpW1tkTa9EZkseuxy2Fsth7SrpcAxe+MrcFgEY+RDNbrvhjzS3t5eUlISi8VisVg6nfa+Y3Nzc48ePRobG7PqgWypOISXPNDD0X94z6oDh0UDuxzWuK1Vu1QKH79ZuD3cF8jgsNyjiN90JvKIx+Pd3d2dnZ1Dhgzp6vL6PpzoEpIaJ6HOzs7y8vJkMuk4TiqVKisr4w7hMQ8BHCbND9CIXQ4zd6rfHGNWcu3E50Mb6AGHhRJGD+tYWjecC\/qnTCYTi8VYH2QymbKysgEDBlDZpFIp0kKimikvL4\/FYv369WOlUltbSz6nW5IEyfZlZWXHjh0rLy9n\/+SWB8dxEokEl5TUYVze6CelpaWtra1sfpqamuheXOL0lNl02Kah3zYfcMMuhxXZDB1+Y25mbygvkMFhocS7hz7SfUMER+EwsWFEjEKaTc55pXV1dcn1gXAAAB3\/SURBVNE2De2UI7ZgpeLW7qF9iaLA3PJADkF2JAmKDpPmjWSpvb192rRpbH7Enk+aON2Ls6M0tyAXLHJY95mz2i2iPebO2pr7C2RwWCixe\/87uu+J4Ph1GPvciDZ06MOqRCJBKndRKlKHsQ2aZDIpbiPmgR6C7YcUDyfmjUtK6jAxcc5qxGFEbHiEFi4WOezooY+1KyQKkfsLZHBYKGH0ms5qh3HVtOgwN8F4dBhNgVhBFIOYB+8O4\/IWosOc872gfoe6AAUWOczQtZvzFLm8QAaHhRJGzzilcBg7nsJxnHHjxlVXV7NGER9WUeV47EtkFUVS48Qj5qGiokKUirQvUXyYR3ZU9CXS\/Lj1LpIE58+f39bWRjQGh4WFRQ4r4pkSg0XgF8jgsFDi5zNX674ngqNwmCMMfBfHoNMREEQYtHUyYsSIkpIS7jES2Zh7ksSlkEgkOI2Jg+\/pLvTJnHRMB5cy\/YSeAs2PdEwHSVzqMJolcSAlCIxFDtu1+TXt2ohgBHiBDA4LJYyeNVHtMAAKhkUOK+7ZfnMJvy+QwWGhRO\/BM3TfEwAYj0UOW7+kQbstIhu+XiCDw8KK9k9O6r4tADAbixz29Lzt2lUR8fD4AhkcFla0vHVI920BgNlY5DDLX3D2qjEPL5DBYWEFZq8HIEcsctj8Ceu0G8KIyPoCGRwGhwEQESxymHY3mBWKF8jgsLBiy+4Dum8LAMzGFoedPPGpdisYF24vkMFhYcW67S267wwAzMYWhx0\/dlK7EgwN8QUyOAwOAyAiwGGI7MG9QAaHhRWL1zbovjMAMBs4DOEp2BfI4LCwYuHKnbrvDADMBg5D+AjyAhkcBocBEBHgMIRPjc3aOnn6Eu21f3GE0VPXAxAF4DCEv5iXXLtrY6pxxK21k6bNSP5GuwaMjgkLNuq+MwAwGzgM4S9WPLV+Y8ODuxNxEo0jbq2bOGXug3P\/TyKlXQnGBRwGQI7AYQh\/kdkyb2nd8IZf3UU1RqJh2C2Qmd\/A8zAAcgQOQ\/iIecm1ZLGoXRtTnMPY2PngpEUT535z6Eztkoh4wGEA5AgchvARK55aTxy2qX6SwmGszBZPmvO9EQ9rt0U0A+84A5AjcBjCR2Q2LaLr9jbcd4cXjZ3rafxVEjKDwwAIHVsc1tV5WrsATI85YzPp7XdSh+1ePdW7wz4bAzJ27LJfzxk0crZ2f0QhMG89ADlii8Mcx5kzdo12DRgdNU9soALz3p3oFnvuv2\/Zr+cMu7tSu0jgMADMxSKHPTVjq3YNGB1sR2KA7kS3aLp3dGZypZ0yO\/zBcd23BQBmY5HDVi7aoV0D5gbXkUii\/pkpuTuMldmGKbN+NnqOdrXAYQCYgkUO27pin3YTmBtPV23kBLa0bviW3ZNDdNhn3Yx3j9o8eaYNMtN9TwBgPBY5bNfm17SbwNxYs\/4p0WHVL45sGHVbPjR2TmY\/u+O5ydPH\/3KudtnkI3oPnqH7ngDAeCxy2B+a3tVuAkNj1phVYkdiProT1TL79a+KanrG749+TPc9AYDxWOSw997+QLsMDA1pR2JeuxPdopjmGv75zNW67wkAjMcih+E158Ah7Uik3Yn1w28ppMaozEyfnnHO8u267wkAjMcih3WfOatdBibGrDGrlr9wr5vDltYNr19W0KYYF+bONbxl9wHd9wQAxmORwxzHmT9hnXYlGBfL5j2rENjSuuHbdgaZsCMfYdZcw28cfF\/3DQGA8djlsKfnbdeuBONizbplaofp6k5Uyyz60zP+5XS37hsCAOOxy2G1a17RrgSzImtHYhS6ExUR2bmGMSgRgFCwy2FvtRzSbgWzImtHIonaHarlxKIQUZtrGIMSAQgFuxyGoYl+Y82a5V4c9szOu6LWnegWEZlrGIMSAQgFuxzmYPZ6n\/FM7VgvDltaN7yx6gHtfvIVeucaxqBEAELBOodh5l\/vseQRTx2JpnQnKmRW+LmGMSgRgFCwzmE7NrRod4Mp4bEj0bjuRLco2FzDfYfO1n0fAFAkWOcwL8M6hn7vvth57hr0EPnw54OnX3zRJeTDwTfew37ynb4\/pjte+fkvPTQqrV0\/oYT3jsRz3Ynzx2v3UDgyy\/Ncw7YN6MhkMqWlpW1tnhb8FDf2tbuJSE8wf2ddZNfTOoedPPGpuuL++eDpN3wjPv2emil3LvvKl\/+ROOnB\/3iixyWXEXXdVD7kistKxt36aJ+e\/b7T98fUWz8fPP3zV1w57tZHtbsnlHjyYR8diSRe2G5qd6JaZqHPNbxue4vu+yC\/JBIJ8msvmUw6OTgslUqRdIqpzhWBw3LBOoc5nmfrIN66puzaaXctH\/q9+4i3pp9vfg2+8R7WYRV3LP7Kl\/+RSK44IrNipV+Hrdh1r3br5CnCnWu4uJe+ZKvIu+66K3Bd2dnZWV5eTiyYC+3t7SUlJel0Osd0CnA4XfsajY0OW7+kQV199+nZj\/z6IwKbzrS9WIfRvkTqM+3iCTFW1D7g12HF1J2okFmO0zNef+ejuu+AEBALDP1TKpXifuY3Nzf36NGjsbGRaIl21Pfv37+srGzAgAGxWCwej3d3d7Mb08YcobGx0TnfMiPpk1qb\/JXsnslkuATZI9JDEGj6dN94PD5o0KBYLFZWVtbV1eU4jvRDcUdy0LKysmPHjrGHq6mpIVmlJyXmkJ5ybW0tu29TUxPZxWHao2QX9sTJBtLT5PIpfh3SzLBXmD21rq4uRTbcMsbtko+iaKPDPC4kRvoSibqkDqNbkqbYqEFTqNK0GyjHCNCRWKzdiW4ReK7hCQs26r4DQkDhMFqRUZPRSjOVSpG6jPyjpqaGVHZ0A0cQXjKZZOtcsn17e\/u0adPoEcUN2ASlDRTaWCRbptNpsm86naafkM24D912pO1F9nDcxm45pP9m9+VM09XVRf9KLyN7Rtxpivn0crm4K8yempgNMUEuY4pdQsRGh3V1nvZYld9UPoQM61A4jD4G69Oz3+Ab7ymOYR0BOhJJZOrv126XwoevuYZf2Pum7jsgBBQOI9Af4GwVKTqMq+IdpcNSqRRtDDkXNj7IgURnOC4OSyQSbEMtmUzSfcn23JM8+qFiR5JyVocpTlnqMHolCdSaXGOXO00xn3RLRWa4Kyx9NkmzIb3+bMbEXUIpexw2OsxRTv57U\/kQ6qc+PfsRdbHeYn3GjvWgDqM9kObGyucnB3PY0rrhjZVjtUtFo8yyTs\/YcapLd\/EPgawOc5halfuZz3ZV5eIw+l+1IYrAYexZE6g\/6HkVwGFcNsTrz2VMmvPQsdRhL9W9qajB6fMw6qrpLgPu2cdgdAPT+xIfm7whsMCW1g3fsdWW7kRFuM01PPD+xbrLfjgoHJZIJLiqmX3ExVamfh3GGmXatGm0iqQ9YN4dRh\/acX5ljesIfYmklnfTEklZ6jDSIgnmMHp2NPPz589va2sj18fNYWI+6e4Kh3FXmD01MRvi9ecyJu6SDyx1GCZOVMTqpzO5OMzO7kS34OYaXrhyp+6yHw4Kh7EP9qXVMaGsrKy6utqXw5zz4xS4MR2lpaV9+vRxMwTdy21MB9vk6tOnD7ul9MOsbw7Qw3V0dJBGyYgRI0pKSrI6jN2XHdPBDm+hvwlizDAT6Wly+aSoG4XsFeZOjcuGeP3FjHG7hFT6LsBShzmO89SMrdptEc3IpSMR3YluQeYabmk9qLvga4Pt1BIbB9op8EtaICzsddiuza9pt0UEI8eORBIvbp6u3RkRjL2jRuou9Zph22H5G2wdDDjMUOx12OGD7dqFEcFYXb02d4etbRinXRgRjPcydk0xBUABsNdhjuMsmrRRuzOiFqu3zs7dYUvrhjdMKto5OwLH6eOf6C7yABQbVjusds0r2p0RqVgwcV0oAkN3ohgHZqZ0l3cAihCrHfbR0RPatRGpCKUjEd2J0vho30u6yzsARYjVDnOwJCbnsJA6Es91J\/7qLu3miEjsHTXyr2dO6y7stoAZ363Cdod5WU7MkpiXDK0RRmLXRrzsfC7aVjyju6RbRAQdlqcsRepM2amn2H3pjFPclJJhTUBlu8Mcz0uxFH2seGp9uA7b2PCgdnlEJDr\/57DuYh4tQp8EVu\/KI9KjSyfsCPe4gZMNPcNEYOzr1fQtaZIg\/YQchc6DNWTIkBwno4LDnMZtrdr9EYXIbJkXrsPQnUjitYcm6y7jBUW6JAo7HwS3yIh0oZDm5uZevXpVVFSQDzds2EDSJL\/luUPQ6TAUM1y4Lc7C5pxbKIRO1yRO\/MhmQHo63GIoZHZjdr4PblkTcZ0UcRINbo5dOom+2zQibkkFy7D0EtFLx00rJU6Wz84HFu6cHXCYc\/LEp7PGrNKuEL0RekciuhNpfNhYr7uM60Exp1HWhULIP5LJJKlbpVMfOR5mGpSuk8ItfULzwC0UIs7z67bIiJdmTUy2ygk3WxW37Is4IS876z8RoZisl6QCZFh6iei+3KJx7LzJhEQiQRchC3ciYDjMcRxn0\/Im7RbRG6F3JJLYVD9Ju0L0xp7bb7NtNIeXJVGyTrLOzeDHKUQ8hNRhijnmRYdJFwphV5BxhIkfaa3tvWtOOlOwdI55jw7jtvGYVIAMu10ievXcJj52LmylwWF54eihj7VbRG9kNi3Kh8OW1g1vuO8O7SLRGO+ml+ou3YXGy5IoOTpMPEQoDhPrVlprcyk7Fy4yUhiHcSvXSLfJt8Pc9CPtS2TFL06oH6hwSYDDzmHzFMBzxmbS2+\/Mk8N2r56qXSS6omHYLRbOzaFYEoUuQZJ1oRCPDmPXHZauvOVl+S6C+JyGpFlVVVVeXs4pk1tkJEeHSddJES8at3KNNFmPSQVzmOJRFtd5SHsOxU5FdkyH4zjjxo3DmI5wsHmQfc0TIczzi+5EMSxshDnMgAu6JAdtstAlSJxsC4WoHSYewsm2aolbi4TNObdQCNfaY1uHbouMSJd3ka5Y7basCa3uxYvGrVxDFO62eIo6qQAZll4i9urRa8JeFq77kf1yxQ7JYMBhn2FtUyx\/HYk2dyfa2QgDeSLiK9doBA77jP9qPaJdJ4WPvHYkkqh\/Zop2oxQ+MEs9CJcor1yjETjsAtY8sUu7VAocT1dtzKvAltYN37J7snajFDgwuRQAhQEOuwALByiuWf9Uvh1W\/eLIhlG3afdKIePwls26yzIAVgCH8VjVFJs1ZlW+OxIt7E5EIwyAggGH8Rw\/dtKeaTsK0JFoYXcillkBoGDAYRLsWRuzAB2JtDuxfvgt2u1SgNg\/fpzu8guARcBhEiyZQXHWmFXLX7i3MA5bWje8fpkVTTE0wgAoJHCYnB0bWrQ7Jt+xbN6zBRPY0rrh23YW\/4Qdtk1RLyWTycTj8UGDBrGv4rJztDuyudXJy7Ds1BXsBuw88dy08XhNynLgMDndZ84W\/SvPa9YtK6TDbOhOPNl2UHfJ1Q95jYnOPU9ni6fTRiimk29vb582bZo4Pzo3Tzz3X2AzcJgrRw99XMQ9igXuSLShOxEvNROoouhceeK8Sty8tNxksuL86Nw88dx\/gc3AYSp2bX5Nu2zyFAXuSCRRu6NolxNrmfgAxtMTQnGYOD86O0+8+F9gLXCYiiLuUVyzZnnhHfbMzruKsjuxYdgtnf9zWHdpjQpcX6I4v61iOnnal8g96OLmief+q+lEQSSAw7JQrD2Kz9SOLbzDltYNb6x6oGBqmXZdeSwWG\/b1r5H\/bho44PKLL6Y9VP2vvurFwYOe\/LcbLr3oInazadeVX3XFFdvj\/+79QEdqt+kupxGCCIldxl5cf1mcW518wi6pxc6Pzs0TL04bD6wFDstO8fUoLnlEQ0digbsT7+zTm9SAnMMev+F6drPvfuXqYV\/\/GvXWk\/92w99dflnmRz\/wfqADM1O6S2i0EI0FQP6AwzyxrPJ57eIJMbR0JBayO7E2\/pPeX7xy5jevu\/zii707bMtPBvT+4pUV137D+4H2jhqJBVY44DBQSOAwT3x09EQx9Sjq6kg81504f3xhmmJEWm59icRVtC+x4tpvEJ\/5OgTeaAZAL3CYV16qe1O7e0KJJx\/W1pFI4oXtBepO5BzGNb\/+9tJL2T5D0hR77Ib+VGlZ03+7apHuUgmA7cBhPli\/pEG7gXKPzIqVeh22Yte92h1GnpbRfkX6GOy7X7m64tpveBnWsW\/03RhMD4B24DAfdJ85WwQPxlbUPqDXYQXrTnRzGHlaRi1FNiMNL+owMmpRkXjHH9\/WXR4BAHCYT44fOzl\/wjrtHgoc2jsSlxakO5FYip3r4fEbridD7QlsM4t9DEa3UfclYjA9ABEBDvPN4YPt5o7v0N6RSCJTf38B2mF5irYVz+gugwCAc8BhQWhtfk+7jYLFyucnaxcYicbKsdptFCAwjsN0vAz9D\/31AKveNyjwycJhATFxnczHJm\/Qri4aO7aaN3figZkpjOPISiKRoNNnkNl72RkO6cQculDUsCS3ZWVl1dXVWWthOlFW4IN6rOuN8x8cZgwrF+3QriVfsfrpjHZ10TCuO3H\/+HHdp07pLnQGQKdDdM5PGUW8RRdSKXyWvBzar2J9OUyaE0Vd73GzwIT7XWj8Zh04LBe6Ok\/\/9qHN2s3kPaLTkUjCoO7EfaPvxnwcLP++fi8X9E+0cqdTy9NJDq+++mrpEpd0X3ZxSzrXIrt+ppcdN2zYwCbS0dFBskH+29TURLLHLaTJLstJtxGzSk+qX79+nMPofPys3siHJMHa2lo2JzU1NdzEkiQdegj1Zr6uITvJMpeN7u5ucUnS5ubmXr16VVRUcJc0mUxy6XOXlz19MVn6bYrZDgwclhPHj51cNGmjdjl5iUh1JJJ4cfN07XLyEntuvw3T0nMoHEaXXCHSevjhh0kFSldUEZe4FNNnp7SnLTnFjtJVMWki7Pb0Q24Xth3GHp07IvUBUQjrMHqCtAeVzqwvzQmdnl9s0mXdzO815BYKkLbz6JKkdN9kMklOgWzAtQilqdHPR48eLSarOOXAwGG5YorGVlev1S4tLtY2jNPup6zRMOwWvAomonCYc77xUVNTU1ZWVl9fT6qwRCJBDCEucUl3ZJsgpLJj603FjuyqmGIiUodxC2lKHSYeUdrYIrDtj9GjR8fj8SNHjpSUlLBVtkIeCoeJmwW7htJsiMu5ORf2lHKnzDbjxMtL9+VarvRXiNspBwYOCwEjNLZ662zt0hKjYVKB5uwIHJgRUYraYaRFUlFRQX\/I33vvvXStL+kSl+yOdHUV0WGKxVbYuptLROow58KFNN0cxh1R4TCSQlVV1ZAhQ+rr63v16lVdXa3ISY4OC3ANQ3FY\/\/79FSflwGGGEnGNLZi4TruupBHx7sSjL+7QXbIiitphtBajtSTb4hGXuKSw\/Y1iO0yxI7sqJnUY3V7qMG4hTbe+RLHD0K0vkZzpiBEjhg8f3tHRcfPNNw8fPpxLMCyHBbuGNM9s+uKSpI43h0kvL923f\/\/+0mzDYdGlq\/N0ZBd9jmBHIonIdic2DLsFAlOgdhh97M9WuGy7gVviUtyRjGIQ14B225FdFfNPf\/oTlwjdkR2vwS2kqWiFsEekmhwxYgTpJ2RPnH16R3aUKiHGDNZwq9Czbub9GkrzTNNnx3TQYZkKh9HxHdLLKx3TQZOFw6JOZDUWzY5EEg2\/uku7sbjYc\/ttH7e8qrs0AQCyA4eFTAQ1Ni8Z0UYYiV0bo\/Wy895RI0+2HdRdjgAAnoDDwidqGlvx1HrtolLExoYHtXuLxsu\/GNP14Ye6SxAAwCtwWF7oPnM2OouNZbbM0y4qdUSkO7Fl4gOYiQMAs4DD8siuza9pF1jEOxJJRKE78T8fmY25EAEwDjgsv7zVcmjO2DUaHRbxjkQSm+on6RXYO08t1l1SAABBgMPyzkdHT2icVjGzaZF2RXmJhvvu0CWwP21Yp7uMgCAYN6E7yAdwWCHo6jy95oldhRfYnLGZ9PY7tfvJS+xePbXw9tpz+20fNtbrLh3FTF41E1biecpk\/s7db8rsDCbsjnTCKna2fnZKX11T0fsCDiscOza0FNhhNU9Ebp5ftyh8d+KBmSlMRZ8PAqwbUuClQLgNouYwaf4Dr8ZCBEZnN04kEnQCXzqLCk2NHIXOETVkyBC3mb2iAxxWUFqb35s1ZhU6EqVRsO7EhmG3oP8wT3hZNyTr4h0kKW5tETolEq3NuQmcyMbcwiJk1l12Mgsuh3RpEjaT3IIv0jVEuPkmuJl26Qz33LlnTUpcGMXjVRWvGPmQm5WKnUVe3EAxhVUmk4nH44MGDYoxU3mprxLNkjhrM9mGW\/6G+6\/HIgeHFZqPjp5YVvk8OhLFqH9mSgEEtn\/8OCykklc8Li\/iuC\/e4cjWFqFLuoiz7nKrqHCTAYprsojtMC6T3IIv0jVEOIfRA9F\/SJP1kpSXdph4Vd1WY2GXJHWYlXFoyty6225TCZOD0p8ORNJZrxKV07Rp08Qcct+O9MvKChymh8ZtrflukD1dtVG7lnzFlt2T8y2wthXPYAB9vsk6X616bRSCdG0R+iE3CSG3iopY3XM9b259idLJ8qXTunt0GLeNx6S89yV6WY1F6jDR33RjhcPYdnAymcx6lbjUxBxy3470y8oKHKaNfDfI1qx\/SruWfEX1iyMbRt2WJ3vtHTUSy4AVBu\/rhihqbWllSitB9SoqXGrsn8QcSjMZwGGk\/uVq5AI7TKofaV8i+yOAu+xuCgnFYWIOuW9H\/LKyAodpJk8NslljVpnVkUgiT92Jb1ctwgQcBcN7beu2eIcjezBDtqmqqiovL+cUyK2iwqbG\/UnMoTST3KJlijVE6GomdIVP9hTEtpqXpII5zO1RFtd5SHsOxU5F58IxHY7jjBs3jiqH60v0dZVoXyKXQ+7bkX5ZWYHD9JOPBlnuHYmjJ\/ePxWI\/HNqHfjL58R9dcslF5MfmzyZ8i\/2EbjZ6cv+\/+\/vPLX5uWLCDht6duHfUSIyeLzzqdUPExUGcCxfvYBOhnYdc6y2ZTNI0uVVUHGGlldiFK79wh1M7jM0JrfHF1UxoO4wd8iCeu5ekpFcj61UVrxjdkV4f9jpwPXvcqitch6RzXkjcyBf1VaIfss01NofcFyd+j16Aw6JCa\/N7Ia6imWNHYvyOfybljMppwfqfXnb5JURd8Tv++XOf7\/HIivi113\/1h0P7UG9NfvxHV\/7d5Y+siAc+bvWLI+uH3xKKvfbcftt7mdV4+gUKgNvaY8VEZN8oh8MiRPeZs43bWnOfm2rWmFXLX7g3sEie2DqsrFfpmNR3L7v8EraBRbxFm18\/m\/At1mELN\/y0rFcpkVwuUb8s16ZYw7Bb3k0vxbtfoJCw7bAAg+uiDxwGvHLyxKdbV+zLxWHL5j2bo0how4s6jLa9WIfRvkTqs9yPu21nThN2vF21CIunAGAPcFhE+ejoiZWLdgTsSFy3rDAOoxuTptiDC35AlRb4uIG7E\/\/zkdlYuxIA24DDIs3hg+1+J1rMsSMxgMPoY7Brr\/\/qzyZ8K8dhHUv9dye2THzgeOsB3d8VAEADcJgBHD92ctPyJo9D8EPpSBQdxnqL9Rk71oM67Bvf\/off1d4W+NC1O7wuJ7Z\/\/LiP9r2k+\/sBAGgDDjOGkyc+3bGhJeuIjzVrludoLzKmgx13O3HhzUvPj7ZnPyHeYsd9sCPvA8czO+9Sdyc2DLvl7apFeGcZAACHGUZX5+mX6t5UjMJ\/pnZsKO0wvdFY9YBbw+tI7Ta8sAwAIMBhpnL4YPvWFfu4ZtmSR8LpSNQeXHfinttve+epxZirFwDAAYcZT2vze+uXNITVkRiRoN2JLRMfOPriDryqDACQAocVCV2dp1\/Z\/cfafY9r108osW7vhD\/WZtDwAgCogcOKjbN\/PfPeh6\/seSu9Zo9hD8aqXxxZ9\/qjbx6u+\/On7bqvIgDADOCwYub4qSOtf9r2fMsc7X5SN7le+mPN4WOv6b5aAADzgMNs4cMT77x5uG7PW+nNL0\/TK601e8bWvf7oqwfXv\/\/JG6e7O3VfGACAwcBhlkKVtnX\/w3ntdax+ceTW\/Q9DWgCAfACHgXOc7u58\/5M3Dh977dWD6189uH7r\/ofZ2LhvkuinlfVjuM32vJV+9eD6Px7Z\/f4nbxw\/dUT3OQEAihw4DAAAgKnAYQAAAEwFDgMAAGAqcBgAAABTgcMAAACYChwGAADAVOAwAAAApgKHAQAAMBU4DAAAgKnAYQAAAEwFDgMAAGAqcBgAAABTgcMAAACYChwGAADAVOAwAAAAplJZWRlbsGBBJQAAAGAaCxYs+P8iKn6mdlMniwAAAABJRU5ErkJggg==\" alt=\"ipolling peeriosity most significant opportunities to increase workflow automation in O2C\" width=\"577\" height=\"332\" \/><\/p>\n<p><span style=\"font-size: medium;\">The second poll addressed the topic of what is the biggest challenge that companies are facing as they attempt to increase automation within their O2C processes.\u00a0 Not surprisingly, a lack of resources (33%) and a lack of standardization (27%) were the two most popular responses, with both often cited as ongoing issues not only for Order-to-Cash but other major process areas as well.<\/span><\/p>\n<p><img loading=\"lazy\" class=\"alignnone\" src=\"data:image\/png;base64,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\" alt=\"biggest challenge in trying to increase workflow automation in order to cash process ipolling results\" width=\"577\" height=\"332\" \/><\/p>\n<p><span style=\"font-size: medium;\">Some of the poll comments made by Peeriosity member companies include the following:<\/span><\/p>\n<p><span style=\"font-size: medium;\"><strong>Manufacturing Member:<\/strong> We have already automated the collection process and are in the <a href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2016\/09\/simplifying-the-cash-application-process\/\">process of automating our billing and cash application<\/a>. I would consider cash application the bigger opportunity right now. Our biggest obstacle is the ability to replicate in other regions of the world where we have transactions.<\/span><\/p>\n<p><span style=\"font-size: medium;\"><strong>Real Estate &amp; Construction Member:<\/strong> Starting review of process initially with cash allocation.<\/span><\/p>\n<p><span style=\"font-size: medium;\"><strong>Wholesale &amp; Distribution Member:<\/strong> Our cash application for the most part is automated. It is the deduction transaction posting that occurs during cash application and the follow-up on those deductions that could benefit from further automation.<\/span><\/p>\n<p><span style=\"font-size: medium;\"><strong>Manufacturing Member:<\/strong> All areas offer opportunities, but we are currently focusing on cash application and reducing paper across all areas.<\/span><\/p>\n<p><span style=\"font-size: medium;\"><strong>Computers &amp; Electronics Member:<\/strong> We are looking into automating our cash applications (wires) on a global scale.<\/span><\/p>\n<p><span style=\"font-size: medium;\">What is the status of your company in carrying out further automation within the Order-to-Cash process areas?\u00a0 Would a solution, similar to that of the Peercast feature company, provide further improvements in this key process area?<\/span><\/p>\n<p><span style=\"font-size: medium;\">Who are <em>your<\/em> peers and how are you collaborating with them?<\/span><\/p>\n<div>\n<p>_________________________________________________________________________<\/p>\n<\/div>\n<p><span style=\"font-size: medium;\">\u201cPeercasts<sup>TM<\/sup>\u201d are private, professionally facilitated webcasts that feature leading member company experiences on specific topics as a catalyst for broader discussion.\u00a0 Access is available exclusively to Peeriosity member company employees, with consultants or vendors prohibited from attending or accessing discussion content.\u00a0 Members can see who is registered to attend in advance, with discussion recordings, supporting polls, and presentation materials online and available whenever convenient for the member.\u00a0 Using Peeriosity\u2019s integrated email system, Peer Mail<sup>TM<\/sup>, attendees can easily communicate at any time with other attending peers by selecting them from the list of registered attendees.\u00a0<\/span><\/p>\n<p><span style=\"font-size: medium;\">\u201ciPolling<sup>TM<\/sup>\u201d is available exclusively to Peeriosity member company employees, with consultants or vendors prohibited from participating or accessing content. Members have full visibility of all respondents and their comments. Using Peeriosity\u2019s integrated email system, Peer Mail<sup>TM<\/sup>, members can easily communicate at any time with others who participated in iPolling.<\/span><\/p>\n<div>\n<p><span style=\"font-size: medium;\">Peeriosity members are invited to log into <a href=\"http:\/\/www.peeriosity.com\/shared-services\/\">www.peeriosity.com<\/a> to join the discussion and connect with Peers.\u00a0\u00a0 Membership is for practitioners only, with no consultants or vendors permitted.\u00a0 To learn more about Peeriosity, <a href=\"https:\/\/www.peeriosity.com\/shared-services\/\">click here.<\/a><\/span><\/p>\n<\/div>\n<p><span class='st_linkedin_large' st_title='Using Workflow Automation to Improve Overall Performance in Order-to-Cash' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2015%2F07%2Fusing-workflow-automation-to-improve-overall-performance-in-order-to-cash%2F' displayText='linkedin'><\/span><span class='st_twitter_large' st_title='Using Workflow Automation to Improve Overall Performance in Order-to-Cash' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2015%2F07%2Fusing-workflow-automation-to-improve-overall-performance-in-order-to-cash%2F' displayText='twitter'><\/span><span class='st_email_large' st_title='Using Workflow Automation to Improve Overall Performance in Order-to-Cash' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2015%2F07%2Fusing-workflow-automation-to-improve-overall-performance-in-order-to-cash%2F' displayText='email'><\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>With the high-volume transaction activity found in the majority of Order-to-Cash (O2C) environments, the use of workflow technology to streamline operations is an approach more companies are embracing.\u00a0 A recent Peeriosity PeercastTM in the Accounts Receivable research area featured a large pharmaceutical company that has developed a powerful workflow solution to simplify their O2C operation. [&hellip;]<\/p>\n<p><span class='st_linkedin_large' st_title='Using Workflow Automation to Improve Overall Performance in Order-to-Cash' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2015%2F07%2Fusing-workflow-automation-to-improve-overall-performance-in-order-to-cash%2F' displayText='linkedin'><\/span><span class='st_twitter_large' st_title='Using Workflow Automation to Improve Overall Performance in Order-to-Cash' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2015%2F07%2Fusing-workflow-automation-to-improve-overall-performance-in-order-to-cash%2F' displayText='twitter'><\/span><span class='st_email_large' st_title='Using Workflow Automation to Improve Overall Performance in Order-to-Cash' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2015%2F07%2Fusing-workflow-automation-to-improve-overall-performance-in-order-to-cash%2F' displayText='email'><\/span><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v19.2 (Yoast SEO v19.13) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Workflow Automation: Improve Performance in O2C | Peeriosity, LLC<\/title>\n<meta name=\"description\" content=\"With the high-volume transaction activity found in Order-to-Cash, the use of workflow automation technology is becoming promising.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Workflow Automation to Improve Overall Performance in Order-to-Cash\" \/>\n<meta property=\"og:description\" content=\"With the high-volume transaction activity found in Order-to-Cash, the use of workflow automation technology is becoming promising.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/\" \/>\n<meta property=\"og:site_name\" content=\"Peeriosity\" \/>\n<meta property=\"article:published_time\" content=\"2015-07-14T23:40:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-08-09T07:31:59+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/\",\"url\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/\",\"name\":\"Workflow Automation: Improve Performance in O2C | Peeriosity, LLC\",\"isPartOf\":{\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/#website\"},\"datePublished\":\"2015-07-14T23:40:53+00:00\",\"dateModified\":\"2022-08-09T07:31:59+00:00\",\"author\":{\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/#\/schema\/person\/06131ee5ca35862440ab2ed1ade7cc4a\"},\"description\":\"With the high-volume transaction activity found in Order-to-Cash, the use of workflow automation technology is becoming promising.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Using Workflow Automation to Improve Overall Performance in Order-to-Cash\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/#website\",\"url\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/\",\"name\":\"Peeriosity\",\"description\":\"Peeriosity Research\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/#\/schema\/person\/06131ee5ca35862440ab2ed1ade7cc4a\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.peeriosity.com\/shared-services\/articles\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/f40a0d8493f8ff51d8560c30b5fa9933?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/f40a0d8493f8ff51d8560c30b5fa9933?s=96&d=mm&r=g\",\"caption\":\"admin\"}}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Workflow Automation: Improve Performance in O2C | Peeriosity, LLC","description":"With the high-volume transaction activity found in Order-to-Cash, the use of workflow automation technology is becoming promising.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/","og_locale":"en_US","og_type":"article","og_title":"Using Workflow Automation to Improve Overall Performance in Order-to-Cash","og_description":"With the high-volume transaction activity found in Order-to-Cash, the use of workflow automation technology is becoming promising.","og_url":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/","og_site_name":"Peeriosity","article_published_time":"2015-07-14T23:40:53+00:00","article_modified_time":"2022-08-09T07:31:59+00:00","author":"admin","twitter_card":"summary_large_image","twitter_misc":{"Written by":"admin","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/","url":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/","name":"Workflow Automation: Improve Performance in O2C | Peeriosity, LLC","isPartOf":{"@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/#website"},"datePublished":"2015-07-14T23:40:53+00:00","dateModified":"2022-08-09T07:31:59+00:00","author":{"@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/#\/schema\/person\/06131ee5ca35862440ab2ed1ade7cc4a"},"description":"With the high-volume transaction activity found in Order-to-Cash, the use of workflow automation technology is becoming promising.","breadcrumb":{"@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2015\/07\/using-workflow-automation-to-improve-overall-performance-in-order-to-cash\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.peeriosity.com\/shared-services\/articles\/"},{"@type":"ListItem","position":2,"name":"Using Workflow Automation to Improve Overall Performance in Order-to-Cash"}]},{"@type":"WebSite","@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/#website","url":"https:\/\/www.peeriosity.com\/shared-services\/articles\/","name":"Peeriosity","description":"Peeriosity Research","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.peeriosity.com\/shared-services\/articles\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/#\/schema\/person\/06131ee5ca35862440ab2ed1ade7cc4a","name":"admin","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.peeriosity.com\/shared-services\/articles\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f40a0d8493f8ff51d8560c30b5fa9933?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f40a0d8493f8ff51d8560c30b5fa9933?s=96&d=mm&r=g","caption":"admin"}}]}},"_links":{"self":[{"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/posts\/2239"}],"collection":[{"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/comments?post=2239"}],"version-history":[{"count":8,"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/posts\/2239\/revisions"}],"predecessor-version":[{"id":5685,"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/posts\/2239\/revisions\/5685"}],"wp:attachment":[{"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/media?parent=2239"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/categories?post=2239"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.peeriosity.com\/shared-services\/articles\/wp-json\/wp\/v2\/tags?post=2239"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}