Manta vs. Jirav
Jirav models your drivers. Manta models your channels.
Jirav is a solid driver-based forecasting tool for SMBs and the accounting firms that serve them. Manta is built specifically for consumer brands, with channel P&L, trade spend and deductions, and cash forecasting that don't have to be modeled from scratch.
Daily P&L by SKU, channel, and retailer. Deductions matched and disputed automatically. Built for consumer brands.
Driver-based budgeting, forecasting, and reporting built for SMBs and the accounting firms managing their FP&A.
Why brands compare Manta to Jirav
Jirav earned its place with accounting and advisory firms because it turns driver-based forecasting into something a small finance team can actually maintain: define the drivers, connect QuickBooks or Xero, and get a P&L, balance sheet, and cash flow forecast. That works well as a general planning layer. It's not built to understand what makes a consumer brand's numbers move, though, so channel margin, trade spend, and retailer deductions end up as manual add-ons rather than something the model already knows how to handle.
Manta vs. Jirav, side by side
| Manta | Jirav | |
|---|---|---|
| What it's built for | The channel-level operating decisions behind margin, trade, and cash for consumer brands | Driver-based budgeting, forecasting, and reporting for SMBs and the accounting firms that serve them |
| Channel & retailer margin | Daily P&L by SKU, channel, and retailer out of the box | P&L, balance sheet, and cash flow forecasts built from the business drivers you define |
| Trade spend & deductions | Deductions classified, matched to backup, and routed for dispute automatically | Not a built-in capability; deductions aren't a modeled driver |
| Cash forecasting | Rolling forecast built from live sales, AP/AR, and retailer payment behavior | Driver-based cash flow forecast built from your model's assumptions |
| Data sources | Ecommerce, marketplaces, retail POS, EDI, 3PL, and your accounting system | QuickBooks, Xero, NetSuite, Salesforce, and similar accounting and CRM systems |
| Built for | Consumer brands selling across retail, DTC, and marketplaces | SMBs and the accounting and advisory firms managing FP&A across client portfolios |
What Jirav gets right
Jirav made driver-based planning approachable for teams that don't have a dedicated FP&A analyst, and it's genuinely useful for the accounting firms building FP&A services across a portfolio of clients. The tradeoff is that the model is only as good as the drivers someone sets up, and it wasn't designed around the deduction codes, trade calendars, and channel mix that make consumer brand finance different from a generic services business.
Where Manta picks up
Manta replaces the manual driver work with a model that already understands how consumer brands sell. A daily omnichannel P&L by channel, customer, and SKU comes out of the box instead of being modeled by hand. An automated trade spend and deductions workflow replaces a spreadsheet someone reconciles every month. A rolling cash forecastis built from your actual operating data rather than driver assumptions. It's the same financial operating system gap that shows up no matter which general-purpose planning tool a brand starts with.
Manta connects to your accounting system too
Manta connects to the accounting and ERP systems consumer brands already run, alongside ecommerce, marketplace, retail POS, and 3PL data. See the full list on the integrations page.
Frequently asked questions
Is Manta a Jirav alternative?
Yes, for consumer brands specifically. Jirav is a strong driver-based planning tool for SMBs and the accounting firms that serve them. Manta is purpose-built for consumer brands, with daily channel and retailer P&L, automated deduction management, and cash forecasting that isn't just another driver in a general model.
How is Manta different from Jirav?
Jirav builds forecasts and dashboards from business drivers you define, on top of data from QuickBooks, Xero, NetSuite, or Salesforce. Manta ingests that same accounting data plus ecommerce, marketplace, retail POS, EDI, and 3PL data, and turns it into a daily P&L by SKU, channel, and retailer, with an automated trade spend and deductions workflow Jirav doesn't offer.
Can Jirav handle retailer deductions?
Deduction management isn't a purpose-built capability in Jirav. It would need to be built as a custom driver or tracked outside the platform. Manta classifies incoming deductions, matches them to the invoice or promotion behind them, and routes disputable ones for recovery automatically.
Is Manta better for consumer brands than Jirav?
For the specific job of running channel-level margin, trade spend, and deductions for a consumer brand, yes. Jirav is built to serve SMBs broadly and the accounting firms managing multiple clients, which means its models are general-purpose. Manta's model is built around the operating mechanics of consumer brands specifically.
Does Manta work if my accountant uses Jirav for other clients?
Yes. Manta connects to the accounting systems your books already run on, so your accountant's other tools and workflows aren't affected by adopting Manta for your brand's operating model.
The bottom line
Jirav is a strong general-purpose planning tool. Manta is a model that already understands how consumer brands make money. Request access to see the difference on your own data.