PacHealth® - How It Works

vision & purpose document screenshot 2024 12 06 at 12 14 40 pm png why pachealth? the events that happen between an order being placed on a website and the bill for the order’s shipment are myriad erps, wmss and tmss all play a part in how an order is sourced, packed, and fulfilled — with varying levels of visibility into the decisions being made on how and why items are being cartonized paccurate customers are taking the steps to improve their packing, but there is no one place to see how well your packing processes are performing and how it is impacting your bottom line in real time there are many questions associated with successful packing behavior are your transportation costs high? are you successfully reducing void? how do your metrics compare to other shippers in a similar position? pachealth allows you to measure void fill, cardboard use, transportation spend, and compliance all in one place shippers want to know if their packing processes are performing well and how they could be improved is item data valid, are processes being properly captured within paccurate, are there trends in order profiles that impact kpis that are important to you? pacsimulate provides insights across a broad range of packing metrics for a fixed set of orders pachealth provides the same degree of information for real orders packed in real time as operations on the floor shift in real time, how does packing behavior change, and how can paccurate provide information to stakeholders on the effects of these shifts? information around how packing changes over time, in real time, gives your transportation, logistics, and operations managers knowledge they could not know in advance of a fedex bill or customer complaint how are we meeting this need? pachealth provides users with daily updates on packing performance you are able to view changes in overall, green, cost, and efficiency scores, as well as changes in volume utilization, cost per order, and more tracked metrics pachealth score cost score efficiency score green score volume utilization (fill rate) total cost surface area total volume total weight pack time item count box count leftover count (items not packed) these metrics are visualized in a graph showing changes over the user’s selected timeframe in addition to a pachealth score, your score is compared to other customers using paccurate this allows paccurate users to know how well they are doing compared to other paccurate customers — identifying whether or not there is further room for improvement the graph is swappable — you can see any of the tracked metrics over the selected timeframe additionally, the dashboard will provide snapshot cards of high level kpis what are your most recent measured average shipping costs, item count, box count, or fill rate pachealth also provides live examples of packs that are impactful to any given score or metric by default, you are shown the lowest performing packs in terms of pachealth score the pack graphic and statistics for the pack provide context for why the score may be low (or high) the list of packs is sortable ascending/descending based on the metric the user is trying to sort by you can also export a list of high (or low) performing orders that impacted each kpi each row contains the orderid, scores, and raw kpis like cost, total volume, item, box and leftover counts, as well as uuids for the pack and and its perfect sibling, so you can easily view representative packs in our order inspector tool how it works currently pachealth gathers a daily representative sample of your live api usage, then builds “perfect” packs for each of those original packs the sample is designed to be large enough to provide statistically significant and accurate data on perfect scores and trends pachealth overall scores and sub scores (cost/efficiency/green) are all calculated for each original/perfect pair, and the charts you see in the pachealth dashboard are the average values by day and the entire time period being viewed if we have data for the previous time period, the kpis will compare those two periods for example, if you are viewing the past 7 days, the “previous period” will be the 7 days before that the overall score is an average of 3 subscores cost score total box cost of the lineup compared to cost of perfect efficiency score volume utilization of the lineup compared to the volume utilization of perfect green score surface area (of corrugate) generated by the lineup compared to the surface area generated by perfect some original packs (missing item sets, leftovers) might “cost” less than their perfect siblings if less items were packed; in those cases the perfect scores are set to zero the “percentile score” in the dashboard is the overall pachealth score for that period, compared to the same for other pachealth customers and the order insights and exports are the same pack pairs used in the rest of the dashboard, but viewable/sortable individually who is pachealth for? any shipper who wants to understand trends in their cartonization process will find pachealth valuable and effective, particularly for operations managers, data analysts, and process or packaging engineers configurable alerts inform users as specified thresholds are met, keeping you informed as soon as packing conditions change significantly exportable csvs enable these users to analyze numerous metrics and assemble reports for executive stakeholders what's next for pachealth? coming soon, item insights will allow you to quickly build drilldown views for the packing performance of individual items, allowing you to quickly see items which are contributing to high shipping costs or poorly performing packs configurable alerts and notifications will inform you as specified user defined thresholds are met, keeping you informed as soon as packing conditions change significantly, and giving you clear next steps on whow to resolve packing issues