One platform for end-to-end IBP
Demand, supply, inventory, pricing and S&OP on one workspace. One consensus plan, one audit trail, one loop back to your systems.
AI planning software · Built for consumer brandsAI planning software
One platform for end-to-end IBPSelf-serve. AutoML built in.
Run ML experiments in AutoML mode, publish plans your team trusts, and close the loop by writing approved numbers back to your database. Live in days, not quarters.
No implementation fee to start · Connect one data source and see a live forecast in week one
STEP 01 · Describe your goal
Loved across industries
Trusted by Brands across the Globe
What is it?
End-to-end IBP, self-serve, with AutoML built in.
Self-serve from day one. AutoML experiments on your data. Every module shares the same plan, models and audit trail.
Self-serve by design
Connect data, configure hierarchies, run experiments and publish plans without a consulting queue or BI ticket.
ML experiments in AutoML mode
Sweep model families, features and horizons per segment. Compare accuracy and bias, then promote the winner into production.
How we are solving
Forecast, plan, finance, and price on one connected model.
Each workflow runs on the same data, models and audit trail, from probabilistic forecasts through consensus demand plans, merchandise financial plans and base prices your supply chain can actually execute.
Demand forecasting
All solutionsAI Demand Forecasting
Probabilistic SKU × store × channel forecasts from a proprietary neural network: promotions, seasonality, new launches and market signals at the grain your planners actually decide on.
Explore AI Demand ForecastingInventory optimizationEnd-to-End Inventory Optimization
Manage the full inventory lifecycle from planning and replenishment to allocation, redistribution and liquidation across your network, on the same demand signal as forecasting.
Explore Inventory OptimizationMerchandise financial planningMerchandise Financial Planning
Sales, margin, receipts and Open-to-Buy on one financial model. Top-down targets reconcile with bottom-up plans; OTB reforecasts continuously as sell-through arrives.
Explore MFP SoftwareBase price optimizationBase Price Optimization
Base prices optimized on measured elasticity at SKU and price-zone level, tested against the demand, inventory and margin reality your P&L has to absorb.
Explore Base Price OptimizationHow it works
Get data, run experiments, use insights, close the loop.
Most planning tools stop at a forecast in a silo. TrueGradient writes the approved plan back into the database and systems your business runs on.
Get data
Connect ERP, WMS, warehouse, marketplace or spreadsheets. Hierarchies and history map once, then stay in sync.
Run experiment
AutoML trains and benchmarks candidates per segment. Compare accuracy, bias and stability, then promote one.
Use insights
Diagnostic and Ask-Any agents surface drivers and exceptions, and answer questions on the plan in plain language.
Close the loop
Push the approved forecast, buy plan or price back to your database and source systems on your cadence.
How is it different?
Built for speed, explainability and every seat in the room.
The difference is not just the model. It is who can run it, how fast it goes live, and whether anyone can explain the number.
Time to value
Onboarding in days, not quarters. First model live in week one, value in the first planning cycle.
AutoML built in
Model search, tuning and retraining per segment. No hand-picked statistical rules.
Deep-tech RL agents
Reinforcement learning recommends replenishment, safety stock and price, not just a forecast.
No black box
Drivers, model choice and error history on every number. Explainability is part of the platform.
Custom reports
Build diagnostic and executive reports self-serve in minutes, without a BI queue.
Persona agnostic
Analysts, planners, executives and data scientists on the same data, at the depth each role needs.
ERP, WMS and database integrations
Read and write across ERPs, WMS platforms, data warehouses, marketplaces and spreadsheets.
Claude via MCP servers
Connect your own Claude or agent stack to experiment datasets with a read-only MCP connector.
Comparison
AI planning software vs. legacy planning tools.
The difference isn't the model. It's who can run it, how fast it goes live, and whether anyone can explain the number.
Other legacy brands
Time to value
Onboarding in days; value in the first cycle
FasterTwo to four quarters of consulting-led rollout
Modelling
AutoML search, tuning and retraining per segment
SmarterFixed statistical rules, tuned by hand
Decisions
RL agents recommend replenishment and price
Better outcomesForecast only; buy and price left to the planner
Explainability
Drivers, model choice and error history on every number
ExplainableBlack box, or a driver report on request
Reporting
Custom report built self-serve in ten minutes
Self-serveBI ticket, days to weeks of queue
Users
Analysts, planners, executives and data scientists
EveryoneTrained specialists only
Integration
Read and write across ERP, WMS, warehouses; MCP access
ConnectedOne-way extracts into a planning silo
Comparison reflects typical enterprise planning deployments and measured TrueGradient outcomes; results vary by category and data maturity. See the Angelcare case study for details.
Who can use it?
Analysts, planners and executives on one platform.
Persona agnostic by design: the same data and models, exposed at the depth each role needs.
Analysts & data scientists
Run ML experiments
- AutoML sweeps across model families, features and horizons
- Bias, drift and error decomposition by SKU, location, channel
- Notebook and MCP access to production data
- Promote the winning model straight into planning
Planners & operations
Run S&OP and scenarios
- One consensus plan with a full override audit trail
- Promo, price, supply-shock and capacity what-ifs
- Custom and diagnostic reports without a BI ticket
- 8x less time spent on the planning cycle
Executives
Ask the plan in plain language
- AI agents answer on demand, service and margin
- Chat the plan instead of digging through dashboards
- Share a scenario by link, not a spreadsheet
- Driver-level answers, not a static report
Quantify impact
Measured outcomes, not slide-deck promises.
8x less time on S&OP, onboard in days, and accuracy that compounds. See how brands like Angelcare, Franklin Sports and HexClad got there.
8x less
Time spent on the S&OP cycle
≈24 planner-hours returned per cycle
Days
To onboard the platform
First model live in week one
+30%
Forecast accuracy uplift
vs. statistical baseline
10 min
To build a custom report
No BI queue, no ticket
Read the full stories in our case study library, including Angelcare, Franklin Sports and HexClad.
ROI calculator
See the ROI on your planning stack
Answer a few questions about your category, revenue and cycle time. Get a directional estimate of forecast uplift, inventory savings and planner hours returned.
Claude MCP
Connect your Claude to the plan.
Point Claude at your TrueGradient workspace over a read-only MCP server. List experiments, inspect datasets and ask plain-language questions on your own supply-chain data.
- OAuth 2.1 with strict per-company isolation
- Read-only access to experiment datasets
- Ask questions like “top SKUs by sales” or “compare forecast accuracy”
Read-only · OAuth 2.1 · Per-company isolation
Claude MCP connectorSecurity & Trust
Built on a foundation of trust
Verified
SOC 2 Type II Compliant
Your data is protected at every layer.
Data security is our utmost priority. TrueGradient is SOC 2 Type II compliant, backed by independently audited controls across data privacy, availability, and confidentiality, so you can plan, scale, and decide with full confidence.
- Independently audited
- Encrypted in transit
- Continuously monitored
Encryption in transit
All traffic between your systems and TrueGradient is encrypted end-to-end over TLS.
Access controls
Role-based access, least-privilege defaults, and auditable permissions on every action.
Secure cloud infrastructure
Hardened, isolated environments on enterprise-grade cloud, monitored 24/7.
FAQ
AI planning software, answered.
AI planning software uses machine learning to forecast demand and recommend inventory, replenishment and pricing decisions, replacing spreadsheet-and-rules planning. It learns from history, price, promotions and seasonality, quantifies uncertainty, and explains the drivers behind every recommendation so a planner can defend the number in an S&OP review.
Legacy tools apply fixed statistical rules and need consulting-led implementations lasting quarters. TrueGradient runs AutoML experiments on your own data, retrains automatically, exposes explainability on every number, and is configured self-serve, so onboarding takes days.
Days, not quarters. Most teams connect a data source, run a first AutoML experiment and review a baseline forecast within week one, with value realised in the first planning cycle.
Every forecast and recommendation exposes its drivers, chosen model and error history, so planners can trace exactly why a number moved. Explainability is part of the platform, not a separate report.
TrueGradient integrates end to end with ERPs, WMS platforms, data warehouses, marketplaces and spreadsheets, and writes the approved plan back to source systems. You can also connect your own AI assistant over an MCP server. See Integrations.
Analysts and data scientists run ML experiments, planners and operations run S&OP and scenario planning, and executives use AI agents and the mobile app for high-level insight, all on the same platform and the same data.
SOC 2 Type II certified
Built for enterprise CPG & retail
30-day proof of value
See your supply chain on
autopilot
Turn complex demand signals into clear, confident decisions without adding more tools or manual work.
Want to estimate your savings?Calculate ROISolutions
Solutions
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.
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