Glenwood Juice 2
12 files · 41 runs History 41 Download Insights Explore Generate proposal ⋮Agent maps your files → prices every lane via TMS → gives a rated proposal. Asks if anything's missing; nothing sent until you approve.
Agent maps your files → prices every lane via TMS → gives a rated proposal. Asks if anything's missing; nothing sent until you approve.
Review the agent's plan before rating
2 datasetsGrouped the three 'Data' sheets from the Bolingbrook and Canada files into a single dataset using the 'latest' policy, as they share identical schemas and row counts. The Midwest Ashcroft Vitality file contains a distinct shipment dataset and is treated as a single version. Both datasets contain standard origin and destination zip codes and weights, so they are routed to the API. All other files and sheets are either rate cards, FSC schedules, rules, or non-shipment aggregates (annual sales, warehouse questionnaires) and are excluded from rating.
Glenwood Juice Bolingbrook Data: All 1,544 lanes were successfully priced, resulting in a total freight cost of $884,793.31 and an average cost of $573.05 per lane. Lane costs range from a minimum of $304.36 to a maximum of $2,308.16. However, there are 15 extreme outliers in the dataset that should be reviewed for potential pricing anomalies.; Midwest Ashcroft Vitality Chicago RT: All 523 lanes were successfully priced, resulting in a total freight cost of $1.2 million and an average cost of $2,303 per lane. The freight mix is heavily dominated by Truckload shipments, with 519 TL compared to just 4 LTL, and individual lane costs ranging from $692.57 to $4,702.00. No pricing anomalies were detected in this output, indicating a clean and complete rating process.
LTLRates: 26 unique lane(s) probed on 'massrating' → $/pallet at 2/3/4/5/6/7/8/9; Rate Base = API distance, Minimum = min-break freight. Rules + Accessorials + LTLFSC/TLFSC from the standard Northvale tables.
The agent reads the folder, groups it into datasets, tells you what it plans to do, asks what it can't infer — and prices nothing until you've answered. Here is that run, end to end.
Every dataset it found, the method it wants to use and why, the columns it can't fill on its own — then one workbook per dataset, with the rate tables already in it.