Turn the shipper's data pack into designs and propose one for signature
- Profile, space and labor built from the rows
- Each number traced to its assumption
- Challenger points with the evidence beside them
Warehouse solution design that turns a shipper's data pack into three costed options, plays the first contract peak hour by hour, and has the price challenged before two people sign.
See one warehouse designed and priced screen by screen ↓The data pack arrives with the RFP: a year of orders, lines, items, inbound containers and inventory. A solutions engineer opens the files, removes duplicates and test orders by hand, and often misses returns hiding as negative quantities. Profiling sits in one workbook, labor and peak sizing in another, vendor quotes are pasted from email and the tariff lives in a third.
A vendor's claimed robot rate slips into the price, a shift is added and the wage line is never redrawn, and capital is recovered over a longer period than the term. The VP and the CFO read a summary deck, usually without the peak played or the price traced back to the data.
Built forSolutions engineersSolutions design VPsCFOsBid managers
A provider prices a multi-year warehouse contract in spreadsheets, with peak sizing, quotes and price in separate files.
Kept in separate workbooks
Built-in controls
The bid team offers a price tested against the first contract peak, and knows which assumption carries the risk.
Solutions engineers, the VP of solutions design and the CFO use them to design and price a warehouse bid. The screens follow a cookware brand's data pack from profile to price.
demoThe shipper, the vendors, the team and the numbers here are sample data.
One builds the design, two sign it, and one places the signed schedule in the response.
Turn the shipper's data pack into designs and propose one for signature
Sign each design and own the rules that govern pricing
Sign each price as second person
Place the signed price schedule into the RFP response
What the CFO, the bid manager and the robot vendor see around one design.
demoSample data, from the working solution.
Warehouse solution design turns a shipper's data into a building plan and a price: space, pick method, labor by shift, equipment and a tariff the provider can live with. Here agents profile the data pack, build three options, play the first contract peak and challenge the price before two people sign.
From operating cost by line, labor, occupancy, capital recovery, equipment, packaging and overhead, then a tariff at the target margin: storage per pallet a month, handling per order and value-added work per unit.
Because the design must ship the peak it will face under the contract, grown by the shipper's forecast. A design sized on last year's peak can pass on paper and fall short in its first season.
No. A claimed robot rate holds that option's price until the provider has measured data from its own site. The vendor answers in fields, and a note offering a better rate waits for a person to read it.
Design approval belongs to the VP of solutions design, after opening the peak result and the labor standards. Price approval follows from the CFO as second person, once the margin review and the schedule are open. Whoever prepared it cannot sign.
Every requirement tied to a tested rule before go-live, so the first month is not chargebacks.
1-min demo3PL SLA ManagementOne monthly result both sides can check, each excluded order tied to its record.
1-min demoWarehouse Claims ManagementEvery claimed unit traced from dock to today, so the 3PL pays what it owes.
1-min demoSend the files from one past bid and the price you signed, and we will play its first peak hour by hour.