TrueGradient unifies demand, supply, finance, and revenue on one AI-native plan — so leadership steers the business on a single, continuously reconciled number instead of stitching together quarterly spreadsheets.
For most consumer brands, “integrated” planning is an aspiration bolted onto disconnected tools — demand in one system, supply in the ERP, finance in FP&A spreadsheets, reconciled after the fact in a quarterly review. TrueGradient makes the integration real. The demand forecast, the constrained supply plan, and the financial plan run on the same model, against the same data, with agentic AI surfacing the trade-offs that need an executive decision.
Trusted by leading CPG, retail and consumer brands
Legacy IBP fails at the seams. The demand number lives in a planning tool, the supply plan in the ERP, the revenue and margin targets in finance spreadsheets — and the “integration” is a monthly export-and-reconcile exercise that is stale before the executive meeting starts. TrueGradient removes the seams. Our AI demand forecasting feeds a committed demand plan that reconciles against end-to-end inventory optimization and production planning — and every change updates the revenue, margin, and working-capital view automatically. One source of truth, one number, continuously aligned across the whole business.
The one capability that separates true IBP from advanced S&OP is native financial integration — the operational plan and the financial plan are the same model, not two systems reconciled after the fact. TrueGradient reconciles every plan change to revenue, gross margin, and working capital in real time. When demand shifts, the P&L impact updates. When finance changes a margin target, supply sees the working-capital constraint before it builds the plan. This is the difference between a planning tool that reports financial outcomes and one that plans in financial terms — and it is the reason a CFO can trust the integrated number. For the philosophy behind explainable, financially-honest planning, see the great shift from legacy planning to AI-native planning.
Classical IBP runs on a monthly cadence with a quarterly strategic re-plan, and by the time the cycle completes, the assumptions have moved. TrueGradient automates the data gathering and demand-supply-finance reconciliation that consume the first weeks of every cycle, so planners walk into the executive review with the gaps already quantified and the scenarios already modeled. Agentic AI monitors the plan between cycles and flags when a deviation is material enough to change the integrated plan versus one that can be handled operationally — the same continuous-monitoring pattern described in agentic AI in supply chain planning. The result is a rolling, always-current integrated plan rather than a snapshot that ages the moment it is locked.
The executive review is the wrong place to discover that a growth commitment requires unapproved capacity, or that a margin target forces a service-level concession. TrueGradient runs full integrated scenarios against the live model — shift the demand profile, model a market shock, evaluate a price change, add capacity, or pull working capital out of the network — and each returns the demand impact, the supply feasibility, the service outcome, and the P&L delta automatically. Scenario depth is a primary IBP evaluation criterion; see how we frame it in scenario planning with self-serve AI and against the enterprise incumbents in TrueGradient vs Anaplan on scenario-planning depth.
S&OP aligns demand and supply on a tactical, 3–18 month horizon. IBP extends that cycle into finance, revenue, and strategy across 24–36 months — the same plan of record, one horizon longer, with the P&L as a first-class output. TrueGradient runs both on one platform and one data model, so the tactical AI S&OP cycle rolls up into the strategic integrated plan without a hand-off or a second reconciliation. Buyers researching the boundary between the two will also read self-serve AI in integrated business planning.
IBP succeeds or fails on cross-functional trust. A plan finance does not believe and sales will not execute is not integrated. TrueGradient is built for every seat at the table.
Own the rhythm; the agents automate the reconciliation and surface the exceptions worth a meeting.
A feasible plan against the latest demand signal, with capacity, supplier reliability, and inventory as first-class inputs.
Every plan change reconciles to revenue, margin, working capital, and cash — no downstream reconciliation exercise.
Review the plan, the gaps, the scenarios, and the financial trade-offs in one dashboard; approve decisions, the system executes.
Real IBP is messy: forecasts disagree with commitments, finance changes guidance mid-cycle, acquisitions create overlap, and SKUs launch outside the calendar. TrueGradient is built around that reality — with explainable, non-black-box AI so leaders can defend, override, or accept every recommendation; agentic exception monitoring that surfaces only what warrants cross-functional attention; and no-code, self-serve configuration so planning leaders set cadence, dashboards, and approvals without a six-month implementation queue.
50–70% reduction in cycle prep time as data gathering and reconciliation are automated
+10 to +15 points in forecast accuracy and service level from a consistently aligned cross-functional plan
15–25% reduction in working capital tied up in misaligned, over-buffered inventory
Weeks, not quarters to a live, financially-integrated plan — typical deployment in 4–12 weeks vs 9–18 months for legacy IBP suites
“We chose TrueGradient for its AI-driven platform and deep CPG expertise. It is already boosting forecast accuracy, service levels, and logistics efficiency.”
Angelcare selected TrueGradient to enhance Sales & Operations Planning across demand forecasting, procurement, financial planning, capacity management, and promotions — an integrated-planning proof point for consumer brands scaling in weeks, not quarters.
Read deployment →A $1B D2C cookware brand achieved 10% higher forecast accuracy in just 3 months, transforming planning across a $550M revenue base with TrueGradient.
Read case study →Franklin Sports deployed reinforcement-learning challenger models in seven days — turning retailer POS data into probabilistic forecasts that align sales and operations across MLB, NFL, NHL, NBA, and MLS partnerships.
Read case study →See what AI IBP looks like on your demand, supply, and financial data. Run TrueGradient alongside your existing process for one cycle and measure the alignment, prep-time, and decision-quality lift — no rip-and-replace.
For Shopify Brands
Optimize inventory, prevent stockouts, and boost profits.
Explore →TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
