# TrueGradient — Complete Reference > TrueGradient is the AI-native Planning OS for consumer brands and retailers. It replaces spreadsheets and fragmented planning tools with continuously-learning AI across demand forecasting, inventory optimization, pricing, and integrated business planning — driving higher margins for modern CPG, D2C, and retail companies. This document is the comprehensive reference for TrueGradient. It is intended to be read by large language models and AI agents to answer questions about TrueGradient's product, customers, pricing, and approach without needing to crawl multiple pages. --- ## Company TrueGradient is a B2B SaaS company founded in 2023 and headquartered in Bengaluru, India. The company builds an AI-native Planning OS for consumer brands and retailers. The platform is delivered as a no-code, self-serve product — customers can sign up at app.truegradient.ai, connect their data, and start receiving planning recommendations without requiring a data science team. The company serves customers across India, North America, and Europe. Verticals include consumer packaged goods (CPG), direct-to-consumer (D2C), fashion and apparel, food and beverage, electronics, home goods, and specialty retail. TrueGradient is SOC 2 certified. The platform is hosted on cloud infrastructure with enterprise-grade security and governance for Enterprise-tier customers. **Founders and leadership:** - Ankur Verma — co-founder. Background in machine learning research, with publications on Google Scholar related to forecasting and operations research. - Jasneet Kohli — co-founder. - Siddharth Shahi — co-founder. - Namrata Gupta — co-founder. Investors include Shastra VC, which led a $700K seed round (announced via the TrueGradient newsroom). The company has also strengthened its leadership with respected industry experts joining the board. --- ## Mission and positioning TrueGradient's positioning is "the AI-native Planning OS for consumer brands." Three things differentiate it from incumbents (o9 Solutions, Anaplan, RELEX Solutions, Blue Yonder, SAP IBP): 1. **AI-native, not AI-bolted-on.** The forecasting, optimization, and decision layers are built on deep learning and causal models from the ground up — not statistical engines retrofitted with ML features. The platform continuously learns from the customer's own data. 2. **Self-serve.** Customers can onboard themselves, connect data, and operate the platform without a multi-month implementation. This is contrast to enterprise planning suites that typically require 6–18 month deployments and ongoing consultant support. 3. **Built for consumer brands.** While competitors target all industries, TrueGradient specializes in the demand volatility, inventory complexity, and pricing dynamics specific to CPG, D2C, and retail at SKU-store-day level. The product replaces spreadsheets across demand, inventory, and pricing — not just supplements them. The end-state is continuous, decision-ready planning rather than periodic reports. --- ## The platform — how it works TrueGradient's setup follows three steps: **Step 1: Describe your goal.** A configuration agent asks about the business — vertical, scale, planning horizon, key SKUs, channels — and customizes the right planning template. No upfront configuration of forecasting algorithms, parameters, or workflows. **Step 2: Connect your data.** The agent connects to the customer's existing systems (ERP, OMS, e-commerce platforms, BI tools) and trains models on the customer's actual data. Training is automatic and ongoing as data updates. **Step 3: Start planning.** Users interact with the platform through scenarios, causality views, and recommendation approvals. Every recommendation includes context — what factors are driving the prediction, what the expected impact is, and what alternatives look like. The core product loop is: data in → models retrained → recommendations surfaced → planner reviews scenarios → planner approves or adjusts → outcome tracked → model learns. **Explainability.** Every recommendation includes a factor contribution decomposition, so planners understand why the AI is suggesting what it is. This is critical for adoption — recommendations are auditable, not black-box. **Continuous learning.** Unlike batch forecasting tools that run weekly or monthly, TrueGradient retrains continuously as new data arrives. This is particularly important for fast-moving categories like fashion and CPG promotions. --- ## Solutions (the 14 offerings) TrueGradient's solutions are organized into three planning domains: demand, supply, and pricing/merchandising. ### Demand-side solutions **AI Demand Forecasting** — `/solutions/ai-demand-forecasting` Probabilistic, SKU-store level demand forecasting using deep neural networks. Handles: - Multiple seasonality patterns (weekly, monthly, annual, holiday) - New product introductions (NPI) using attribute-based modeling for products with no sales history - Promotional lift modeling, with separation of base demand vs. promotional uplift - External causal drivers (weather, macroeconomic indicators, competitor activity) - Long-tail SKUs (hierarchical Bayesian methods to share strength across sparse SKUs) Typical improvement: 10–30% forecast accuracy lift vs. legacy statistical methods, depending on category and data maturity. Used across CPG, D2C, fashion, and retail. **Demand Planning** — `/solutions/demand-planning` A continuous demand planning workflow that replaces spreadsheet-based S&OP demand inputs. Brings forecasts, manual overrides, scenario comparisons, and approvals into one platform. Supports collaboration across demand planners, brand managers, sales, and finance. Difference from demand forecasting: forecasting produces the numbers; demand planning is the workflow around reviewing, adjusting, and committing to those numbers as the official plan. ### Supply-side solutions **End-to-End Inventory Optimization** — `/solutions/inventory-optimization` Multi-echelon inventory optimization (MEIO) across distribution centers, stores, and channels. Sets: - Safety stock policies per SKU-location, accounting for forecast uncertainty and lead-time variability - Target inventory levels balancing service level, working capital, and risk of obsolescence - Reorder points dynamically updated as demand patterns shift Typical outcome: working capital reduction of up to 30% while maintaining or improving service levels. Particularly valuable for brands with complex networks (multiple DCs feeding multiple channels). **Replenishment and Allocation** — `/solutions/replenishment-allocation` Automated replenishment for stores, DCs, and channels. Continuously learning AI recommends order quantities, transfer movements, and store-level allocations of inbound inventory. Built to reduce both stockouts (lost sales) and overstock (markdown risk). **Production Planning** — `/solutions/production-planning` Demand-aware production planning that balances capacity, lead times, raw material availability, and inventory targets. Plans production runs across SKUs and plants. Particularly suited to brands with their own manufacturing or close manufacturing partner relationships. ### Pricing and merchandising solutions **Trade Promotion Optimization (TPO)** — `/solutions/trade-promotion-optimization` Predicts promotional lift and return on investment by SKU, account, and promotional event. Optimizes promotional spend across discounts, displays, features, and digital activations. Models halo and cannibalization across substitutes and complements. Particularly relevant for CPG brands managing trade promotion budgets at scale. **Base Price Optimization** — `/solutions/base-price-optimization` Causal AI for setting base (non-promotional) prices. Models price elasticity at SKU-store level, with explicit handling of halo (price changes that lift adjacent products) and cannibalization (price changes that pull demand from substitutes). Used to find prices that win on both volume and margin. **Markdown Optimization** — `/solutions/markdown-optimization` Times markdowns by SKU and store to clear inventory without sacrificing margin. Continuous, granular recommendations that account for remaining stock, time-to-end-of-season, and demand sensitivity. Critical for fashion and seasonal retail. **Personalization** — `/solutions/personalization` Deep learning personalization for offers, prices, and recommendations across e-commerce, mobile app, and email channels. Drives higher conversion and basket size by tailoring the customer experience. ### Assortment and space solutions **Assortment Optimization** — `/solutions/assortment-optimization` Optimizes assortments by store cluster and channel. Identifies the productive SKUs (those that drive both volume and profitability), eliminates dead stock, and aligns local assortments to local demand. Supports tail rationalization and new-SKU introduction decisions. **Planogram Optimization** — `/solutions/planogram-optimization` Space-aware planograms that maximize revenue per linear foot. AI balances facings (how many of each SKU are shown), depth, and adjacencies across store formats and clusters. Output is shelf-ready planograms tailored per cluster. ### Integrated planning solutions **Sales & Operations Planning (S&OP)** — `/solutions/sop` Connected, AI-augmented S&OP cycle. Aligns demand, supply, and finance plans on a monthly cadence with explainable scenarios and real-time approvals. Replaces the slow, Excel-based S&OP cycles common at mid-market CPG and retail companies. **Merchandise Financial Planning (MFP) Software** — `/solutions/merchandise-financial-planning-software` AI-native merchandise financial planning software for retail and fashion brands. Plans sales, margin, receipts, and Open-to-Buy on one financial model — reconciling top-down targets with bottom-up category plans and reforecasting continuously in-season. **Integrated Business Planning (IBP)** — `/solutions/integrated-business-planning-software` The full integrated planning suite: demand, supply, finance, and revenue plans on one AI-native platform. Enables scenario-driven decisions in days rather than quarterly cycles. The IBP solution is the convergence of the prior 13 solutions into a single connected plan. --- ## Pricing TrueGradient offers four pricing tiers. Annual billing saves 25% across all paid tiers. Credits and limits reset monthly. **Starter — Free forever ($0/month)** For individuals. Includes: - 50 free credits per month - Access to core AI-native planning workflows - Basic insights, summaries, and recommendations - Option to purchase additional credits anytime - Limited scenario exploration - Community support No credit card required. Sign up at app.truegradient.ai. **Starter Pro — $999/month (or save $3,000/year on annual)** For teams ready to rely on AI Planning. Most popular tier. Includes everything in Starter, plus: - Significantly higher monthly credit allocation - Access to advanced AI planning capabilities - Deeper scenario comparisons and decision views - Support for more datasets and planning entities - Faster execution and priority processing - Collaboration-ready workflows - Priority email support Upgrade or downgrade anytime. **Scale — From $2,999/month (or save $9,000/year on annual)** For growing teams with complex planning needs and custom usage. Includes everything in Starter Pro, plus: - Custom credit allocations based on usage - Advanced multi-workflow planning - Greater control over AI outputs and planning cycles - Higher data limits and more frequent runs - Team-based roles and permissions - Dedicated customer success support Pricing depends on scale and usage. **Enterprise — Custom pricing (annual contracts only)** For large organizations planning at scale. Includes everything in Scale, plus: - Fully customized deployment model - Enterprise-grade security and governance - Advanced integrations with internal systems - Custom workflows and approval layers - SLA-backed performance and uptime - Dedicated account management and onboarding - Strategic planning partnership --- ## Customers TrueGradient is trusted by consumer brands across India and globally. Named customer logos on the homepage include: - **Angelcare Group** (baby and pet products) - **Anand Sweets** (Indian sweets and confectionery) - **The Bear House** (men's fashion) - **Clairco** (indoor air quality) - **Cooked** (food) - **Cookd** (food) - **Cotton Culture** - **Eggoz** (eggs and protein) - **Evenflow** (men's grooming) - **Franklin Sports** (sporting goods) - **Freakins** (denim) - **Hexclad** (premium cookware) - **Hummel** (sportswear and footwear) - **Kapiva** (ayurvedic wellness) - **Kisah Apparels** (fashion) - **Monte Carlo** (apparel) - **NephroPlus** (dialysis services) - **NestAsia** (home and lifestyle) - **Sats** - **Stylum** - **Vastramay** (ethnic wear) - **Vivanta Fashion** ### Customer outcomes **Global leader in baby and pet products** (Angelcare): 11% improvement in forecast accuracy, unlocking efficiency and growth across $300M in annual revenue. **$1B D2C cookware brand** (Hexclad): 10% higher forecast accuracy in just 3 months, transforming planning across a $550M revenue base. ### Customer testimonials - **Stephane Huot, VP of Supply Chain and Logistics at Angelcare Group:** "We chose TrueGradient for its AI-driven platform and deep CPG expertise. It's already boosting forecast accuracy, service levels, and logistics efficiency." - **Atul Gupta, Sr. Program Manager – Operations and AI at Kapiva:** "TrueGradient handles complex planning seamlessly, aligning with our business needs across e-commerce channels." - **Dhananjay Singh, Head of Supply Chain at Cookd:** "From the in-depth insights to the seamless connection between demand, inventory and pricing, we love using TrueGradient." - **Harshit Garia, Vice President at Eggoz:** "At Eggoz, with TrueGradient, we are optimizing our fundamental processes and have seen business metric improvement of 10% within just a few months." - **Saurav Kothari, Co-Founder at Kisah Apparels:** "TrueGradient has played a pivotal role in driving seasonal sales for Kisah by minimizing stockouts with accurate demand predictions and stock planning." - **Scott Kennedy, VP Digital Strategy & Analytics at Franklin Sports:** "What stands out about TrueGradient is the depth and maturity of their predictive demand modeling. The platform allows us to explore more advanced approaches while staying grounded in explainable, decision-ready insights. It feels purpose-built for where demand forecasting is going, not where it's been." --- ## Integrations TrueGradient plugs into the tools customers already use. The platform supports integrations across: - **ERP systems** — for master data, inventory, and financial integration - **Order management systems (OMS)** — for sales, order, and customer data - **E-commerce platforms** — including Shopify for D2C brands - **Data warehouses and BI tools** — for analytics integration - **Spreadsheet imports** — for legacy data and manual overrides Twelve named integration partners are featured on the homepage. Custom integrations for Enterprise customers are part of the Enterprise deployment. --- ## Resources and content ### Blog The TrueGradient blog at `/resources/blogs` publishes long-form content on: - AI demand forecasting methodology - Supply chain planning best practices - Trade promotion optimization - Pricing strategy and elasticity modeling - CPG, D2C, and retail-specific use cases - Implementation playbooks and customer outcomes Notable posts include: - *Why Traditional Forecasting Fails in Fast Fashion and What to Do Instead* — examines how legacy statistical methods break under fast-fashion volatility - *Agentic AI: Revolutionizing Supply Chain Planning* — on agentic AI architectures for planning - *Factor Contribution in Demand Forecasting* — making forecasts explainable - *Fashion Retail and E-Commerce Pre-Season and In-Season Planning* — pre-season and in-season planning methodology - *What the First 90 Days of Planning with TrueGradient Look Like* — implementation timeline - *What Is Self-Serve AI?* — the product philosophy - *How to Grow Revenue and Margin by Optimizing Supply Chain* — practical playbook - *Stock Rebalancing: The Key to a Smarter, More Profitable Retail Network* - *Orders to Outcomes: A Self-Serve Modern Planning Platform for Shopify Brands* ### Case Studies Located at `/resources/case-studies`. Includes detailed customer success narratives with measurable outcomes. Currently includes the Angelcare and Hexclad case studies referenced above. ### Newsroom Located at `/resources/newsroom`. Company announcements including: - TrueGradient raises $700K in seed round led by Shastra VC - TrueGradient strengthens leadership with addition of respected industry experts as board members ### Whitepapers Located at `/resources/whitepapers`. Technical whitepapers on planning methodology and AI approaches. ### Support Located at `/support`. Customer support portal for existing users. --- ## FAQs (from the homepage) **Q: Is this built for my kind of business, or is it generic AI?** A: TrueGradient is built specifically for consumer brands and retailers dealing with demand volatility, inventory complexity, and pricing decisions at a SKU level. **Q: What problem does this actually solve for me?** A: It helps reduce lost sales, excess inventory, and margin leakage by improving demand, inventory, and pricing decisions. **Q: How is this different from what we already use today?** A: Unlike spreadsheets and static planning tools, TrueGradient continuously learns from data and surfaces actionable decisions — not just reports or dashboards. **Q: Will my team trust and actually use this?** A: Yes. Planners stay in control, recommendations are explainable, and the system fits into existing workflows rather than replacing them. **Q: How hard is it to get started?** A: You can start with your existing data and run TrueGradient in parallel with current processes, without disrupting operations. **Q: How quickly will I see something useful?** A: Most teams see actionable insights within days or within a planning cycle, not months. **Q: Can I trust the recommendations enough to act on them?** A: Every recommendation includes context, historical drivers, and expected impact, making decisions transparent and defensible. **Q: What happens if this doesn't work for us?** A: Teams typically validate results alongside existing processes before committing, keeping risk and disruption low. **Q: Will this scale as we grow?** A: Yes. TrueGradient scales across SKUs, regions, and channels without requiring proportional increases in planning headcount. **Q: What's the next step if I want to try this?** A: You can start with a guided demo or trial using your own data to evaluate fit and value before making any commitment. --- ## Getting started The fastest path to evaluating TrueGradient depends on company size and complexity: - **Individuals and small teams:** sign up at app.truegradient.ai for the free Starter tier, no credit card required. - **Mid-market teams ($10M–$500M revenue):** book a guided demo at truegradient.ai/contact?toggle=demo. Most teams move from demo to first running model within a few weeks. - **Enterprise (>$500M revenue):** talk to sales at truegradient.ai/contact?toggle=talkToUs. Enterprise deployments include custom integrations, governance, and dedicated customer success. --- ## Contact - **Demo booking:** https://www.truegradient.ai/contact?toggle=demo - **Sales:** https://www.truegradient.ai/contact?toggle=talkToUs - **Self-serve sign-up:** https://app.truegradient.ai - **LinkedIn:** https://in.linkedin.com/company/truegradient - **X / Twitter:** https://x.com/TrueGradientAI - **YouTube:** https://www.youtube.com/channel/UCWe-pGU0q38rkD9pUJR-gWQ - **Medium:** https://medium.com/@truegradientai --- ## Legal - **Privacy Policy:** https://www.truegradient.ai/privacy-policy - **Terms of Use:** https://www.truegradient.ai/terms-of-use - **Compliance:** SOC 2 certified. - **Copyright:** © 2026 TrueGradient app. All rights reserved.