Cube vs Mosaic for Distributors: Inventory Turns and AR Financing

Every day of inventory sitting in a warehouse is cash the distributor can't use elsewhere, and inventory turnover varies enormously by product category, a fast-moving consumable turns many times a year while a slow-moving specialty part might turn only once or twice. Averaging turnover across the whole catalog hides which SKUs are actually tying up working capital.

Cube lets you build turnover tracking by SKU category directly into the model and tie it to a cash-conversion-cycle calculation. Jirav can model it similarly with a defined inventory driver. Mosaic doesn't have a native inventory-turns concept, since it's built around subscription metrics, so you'd be building this from scratch inside it either way.

A distributor's net-30 terms are aspirational for some customers and fiction for others, and a total AR balance that looks reasonable can mask a handful of large customers consistently paying at 60 or 90 days. That slow-pay pattern is a real, ongoing drag on working capital that a total AR number won't surface.

Track AR aging by customer, not just in aggregate, and flag accounts whose actual payment pattern has drifted from their stated terms. Cube's and Jirav's flexibility to build this by customer cohort is a better fit than Mosaic's dashboards, which assume subscription billing collects close to on time by default.

Freight cost swings, fuel surcharges, a carrier rate increase, a shift toward smaller and more frequent shipments, can erode margin on a product line that hasn't changed its sell price at all. If freight is bundled into cost of goods sold without being tracked separately, a margin decline reads as a pricing problem when it's actually a logistics cost problem.

Build freight as its own cost line, tracked against volume and lane, so a rate increase shows up distinctly from a pricing or product-cost issue. Both Cube and Jirav handle this as a straightforward additional cost driver in the model.

A rebate structure that pays a customer back a percentage once they cross an annual volume threshold creates a liability that accrues gradually through the year but often isn't recognized until the rebate is actually paid. Not accruing it monthly overstates margin for most of the year and understates it sharply when the rebate hits.

Accrue rebate liability monthly against each qualifying customer's running volume, rather than waiting for the year-end true-up. Cube's spreadsheet model makes this straightforward to build against your actual rebate tiers and customer volumes.

A distributor typically finances the gap between paying suppliers and collecting from customers with a revolving line of credit priced off the prime rate, currently 6.75%¹. A distributor with slow-paying customers and long inventory turns is effectively financing both ends of that gap, and the interest cost belongs explicitly in the model, not as an afterthought line item.

Calculate the financing cost against your actual cash-conversion-cycle length (days inventory plus days receivable, minus days payable) so a lengthening cycle shows up as a rising financing cost in the forecast, not just as a vague sense that cash feels tighter.

• If inventory turns and AR aging by customer are core to how you manage the business, Cube's or Jirav's flexibility to model both explicitly will serve you better than Mosaic's SaaS-metric defaults.
• If you also run a growing subscription or managed-replenishment program alongside traditional wholesale, Mosaic's recurring-revenue tools can add value for that specific line.
• If you want a working cash-conversion-cycle model fast without a long spreadsheet build, Jirav's driver-based templates get you there quicker.

Whichever tool you choose, build inventory turns, AR aging, and the prime-rate financing cost as three explicit, connected pieces of the same model. Treating them separately hides how much they're actually driving one another.