AI Production Planning Software for CPG, Food & Beverage, and Consumer Brands
TrueGradient turns demand forecasts into committed production plans — demand-driven MRP, finite-capacity master scheduling, and agentic AI exception monitoring, all built around the planner.
Production planning lives between two pressures — a demand plan that keeps changing and a manufacturing network that has hard limits. Get it wrong, and you build the wrong product, miss OTIF commitments, run unplanned changeovers, or carry excess work-in-progress. TrueGradient's AI production planning software reconciles demand with capacity continuously, produces a Master Production Schedule that the supply team can commit to, and re-plans automatically when anything material changes.
Trusted by production planning and S&OP teams at leading CPG, food and beverage, and consumer brands
Production plans driven by demand, constrained by capacity, optimized end-to-end
Legacy production planning systems were built as MRP engines bolted onto a manufacturing ERP — good at exploding bills of materials, weak at handling demand uncertainty or capacity constraints in real time. TrueGradient treats production planning as a closed loop. The AI demand forecast drives a probabilistic demand plan. The demand planning plan drives a demand-aware MRP that propagates requirements through the bill of materials. Capacity constraints — labor, machine hours, changeover windows, supplier lead times — shape a feasible Master Production Schedule. When the demand forecast shifts, when a supplier slips, or when a line goes down, the plan re-optimizes automatically and surfaces only the exceptions that require planner attention.
Demand-driven MRP and Master Production Scheduling in one platform
TrueGradient combines Demand-Driven MRP (DDMRP) and Master Production Scheduling (MPS) in a single AI-native workflow. DDMRP positions buffer stock at strategic points in the bill of materials based on the actual demand distribution per SKU and per component — not static safety-stock multipliers and not pure MRP push logic. The MPS is generated automatically from the demand-driven plan and reconciled against finite capacity, supplier reliability, and inventory positions before any planner sees it. Changeover sequences are optimized to minimize lost production time. Lot sizes are sized to demand uncertainty, not arbitrary EOQ formulas. Planners review the proposed MPS with full attribution — why each production order is sized the way it is, what demand it covers, and what constraint shaped its timing — and approve, override, or run a what-if before committing.
Finite capacity planning across plants, lines, and shifts
Production planning that ignores finite capacity produces plans that look optimal on a spreadsheet and fail on the factory floor. The planning engine evaluates whether a demand commitment can actually be produced before it is committed, identifies bottlenecks before they cascade, and proposes corrective actions when capacity is short. Plans are feasible at the moment they are published, not aspirational. When capacity shifts — line downtime, labor shortage, supplier delay — the plan re-optimizes and surfaces only the exceptions that require human judgment.
Run what-if production scenarios and re-plan in minutes
When a key supplier slips, a line goes down, a customer shifts a large order, or finance changes the capital plan, the planning team needs an answer before the next S&OP meeting — not a one-week modeling exercise. TrueGradient runs full production what-if scenarios against the live planning model: shift the demand profile, add or remove capacity, change supplier lead times, or evaluate a new SKU launch. The platform returns a feasible production plan, the OTIF impact, the working-capital impact, and the variance from the baseline in seconds. Commercial, supply, and finance teams can model the same decision against the same model and align before commitment.
Built for the operating reality of production planning teams
Production planning in the real world is not a clean optimization problem. Demand shifts mid-cycle. Suppliers ship late. Lines go down. New SKUs launch without history. Commercial teams commit before the plan is locked. Finance pressures working capital one quarter and services the next. TrueGradient is built around that reality.
Explainable recommendations
Every production order, lot size, and capacity allocation surfaces the drivers behind it, so planners defend, override, or accept with confidence. No black box.
Agentic AI exception monitoring
Continuously tracks the plan against actuals and surfaces only the exceptions that warrant planner attention. Routine adjustments are handled by the system.
No-code, self-serve
Planners configure policies, BOM updates, and capacity constraints without data-science support or a six-month implementation queue.
The business impact of AI-powered production planning
Better production planning compounds through every downstream line on the manufacturing P&L. With TrueGradient, consumer brands and manufacturers consistently see:
+10 to +15 percentage points in OTIF (On Time In Full) delivery through capacity-aware planning and earlier exception detection
20–30% reduction in days of supply through demand-driven MRP and dynamic buffer sizing
Days, not quarters to first production plan — typical TrueGradient deployment in 30–90 days vs. 12–18 months for legacy APS platforms
Every OTIF point earned protects a customer relationship. Every changeover minute saved compounds against gross margin. Every day of supply released frees working capital. The same plan delivers all three — without the trade-offs that legacy MRP and APS tools force on the planning team.
“TrueGradient's AI-driven platform gave us the data foundation we needed to make confident inventory decisions at scale.”
HexClad achieves 10% higher forecast accuracy with TrueGradient
HexClad partnered with TrueGradient to move from manual Excel forecasting to AI-driven planning — achieving approximately 10% higher forecast accuracy and reducing forecast generation to around 2 hours.
Read case study →Eggoz operations optimization case study
At Eggoz, with TrueGradient, we are optimizing our fundamental processes and have seen business metric improvement of 10% within just a few months.
Read case study →Connect production planning to the rest of your planning stack
Also see S&OP and IBP for cross-functional alignment.
Get a production plan you can commit to
See what AI production planning software looks like on your demand and capacity data. Run TrueGradient in parallel with your existing planning process and measure the OTIF, changeover, and working-capital lift in your first planning cycle. No rip-and-replace, no months-long implementation.
For Shopify Brands
Optimize inventory, prevent stockouts, and boost profits.
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TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
