TrueGradient

Speaking with 30+ Shopify brand founders last 2 quarters led to one major realisation: Most Shopify-first brands don’t lose money because of poor products. They lose millions quietly through planning inefficiencies. - #65% mentioned excess inventory tying up working capital - #85% highlighted frequent stock-outs and missed revenue - #75% said promotions are disconnected from real demand signals - #80% still rely heavily on spreadsheets and instincts for forecasting The biggest opportunity in modern commerce is no longer just customer acquisition. It’s #operationalintelligence. Imagine: - Recovering millions in lost sales from fewer stock-outs - Unlocking cash trapped in excess inventory - Running promotions with precision instead of guesswork - Aligning marketing, inventory, and demand in real time - Scaling SKU complexity without scaling operational chaos The next generation of winning Shopify brands won’t just have better marketing. They’ll have better planning infrastructure. AI-native forecasting, inventory optimization, and promotion planning are becoming the operating system of modern commerce. This is exactly our #mission at TrueGradient ! That shift is already underway. #Shopify #DemandPlanning #InventoryOptimization #priceoptimisation #RetailTech #Ecommerce #Forecasting #SupplyChain #AI #DTCBrands #RetailAI #truegradient

Exciting announcement! 📣 Delighted to share that Bearaby has chosen TrueGradient to run its integrated planning across demand, inventory, and pricing. Bearaby is a fast-growing omnichannel retailer, predominantly D2C, navigating the classic challenges of modern retail: seasonality, trends, new product launches, and high-impact events that create highly erratic demand, often leading to lost sales or excess stock. A big thank you to Eduardo A. for the trust, and for the continued curiosity and engagement in rethinking planning with a modern operating system. In just 8 weeks, we operationalized the platform, now actively driving demand and replenishment decisions. Looking forward to the journey ahead and the impact we’ll create together. More to come! 🚀 Siddharth Shahi Namrata Gupta Dan VanHousen Ankur Verma Jasneet (Jas) Kohli

Amazon Prime Day is coming up. Most teams will plan it with a single forecast. But that’s not how demand behaves. The real question is: What does my bullish, base, and conservative scenario look like? How much inventory do I position in the DC for each? You can’t answer this with one number. You need probabilistic forecasts and the ability to run supply scenarios quickly. A planner should be able to: > Look at different forecast bounds > Test scenarios across product hierarchies > See the inventory impact across the network in real time That shift from static planning to scenario thinking is where most of the value sits. More in the blog (link in comments). #10Xplanner #Integratedplanning TrueGradient

Pricing isn’t a #guess. It’s a #system !! Most brands still treat pricing like a one-time decision: Set it. Test it. Hope it works. But in reality, pricing is a continuous system - driven by demand, inventory, and customer behavior. At TrueGradient, we’ve seen this play out repeatedly: 👉 Excess inventory? Price should move. 👉 Stockouts risk? Price should respond. 👉 Demand spikes? Price should adapt. The problem isn’t lack of data. It’s the lack of a #connectedsystem. Modern pricing needs 3 things: - Real-time demand signals - Inventory-aware decisions - Continuous optimization (not static rules) When pricing becomes part of your planning system, not a silo you stop reacting and start engineering outcomes. 📉 Less excess 📈 Fewer stockouts 💰 Higher realized margins That’s the shift from #guesswork → #systemdrivenpricing. If you’re still pricing in #spreadsheets, you’re leaving money on the table. Read about how TrueGradient solves price optimisation problem here - https://lnkd.in/gwRcmEX8 Jasneet (Jas) Kohli Namrata Gupta Siddharth Shahi Ankur Verma Ankit Solanki Ankit Raj Dan VanHousen Vasu Bhanderi Vishnu Bhanderi Vignesh Bolusani Nutan Prasad Panda Sharad L M Aftab Khan

A big thank you to Coresight Research for featuring TrueGradient among the top supply chain planning platforms in global retail at the Avery Dennison Factory Supply Chain Summit. ⭐ It’s exciting to see modern retailers and brands embracing AI-native planning, shifting away from spreadsheets and legacy systems toward faster, smarter, and more profitable decisions. 💪 Grateful for the recognition and even more excited for what lies ahead! 🚀

A big thank you to Coresight Research for featuring TrueGradient among the top supply chain planning platforms in global retail at the Avery Dennison Factory Supply Chain Summit. ⭐ It’s exciting to see modern retailers and brands embracing AI-native planning, shifting away from spreadsheets and legacy systems toward faster, smarter, and more profitable decisions. 💪 Grateful for the recognition and even more excited for what lies ahead! 🚀

Are you constantly in #builder mode? One of the biggest challenges for any tech founder is finding the right balance between #building and #selling. At TrueGradient, we were stuck in that exact trap for most of 2025. Like many product-first founders, we kept telling ourselves: "Just one more feature, just one more improvement, then we’ll push harder on GTM" But at some point, we had to step back and ask ourselves a hard question: Is the product actually not ready, or are we just overbuilding? We realized something important: Our platform was already mature enough to solve problems in a #multibilliondollar market. So in Q1 2026, we made a conscious shift. We started balancing building with selling. And the results were phenomenal. We onboarded 6 new ICP customers globally across Europe, Australia, and North America in just one quarter. 🚀 Here’s what worked for us: 1. Deep Ecosystem Integrations As a planning platform, integration friction kills deals. We invested heavily into becoming deeply embedded within our ICP’s ecosystem. We launched 1-click integrations with Shopify, BigQuery, Fulfil.io. This allowed customers to onboard in 2–3 days and instantly map their demand + supply planning workflows. Result: Sales conversations became dramatically easier because integration objections disappeared. 2. Agentic Decision-Making Layer We built planning agents that can answer operational questions like: "Provide me the reorder plan. Which SKUs should I order, and how much from China to Europe and New Zealand, given capacity constraints?" Instead of dashboards… users now get decisions. 3. Scenario + What-If Intelligence Planning teams can now run scenario simulations instantly. Example: "Recommend a P80 forecast for a conservative Black Friday inventory strategy." Moving from static forecasting → dynamic decision intelligence. 4. Mobile Visibility We launched mobile access for end-to-end visibility of the planning process. Because planning leaders shouldn’t need to open a laptop to understand what’s happening in their business. 5. UX Focus for the 10X Planner Q1 was heavily focused on UI/UX improvements based on real planner feedback. Our belief: The best AI in the world is useless if planners don’t love using it. Biggest lesson for me as a founder: Sometimes the bottleneck is not the product. It’s your willingness to stop building and start selling. Would love to hear from other founders - "Have you struggled with balancing builder mode vs seller mode?" Jasneet (Jas) Kohli Siddharth Shahi Namrata Gupta Ankit Raj Vasu Bhanderi Vishnu Bhanderi Ankit Solanki Vignesh Bolusani Sharad L M Aftab Khan Dan VanHousen Nutan Prasad Panda #Startups #PaaS #Founders #B2B #AI #Planning #SupplyChain #DemandPlanning #Entrepreneurship

Proud to share that one of Australia’s fastest-growing Shopify-native homecare brand CouchCare ((https://lnkd.in/gYCSH77q) is now partnering with TrueGradient to transform their planning operations using our Agentic OS. 🤝 As the business scaled rapidly, the team faced a challenge common to many high-growth D2C brands: spreadsheets and manual planning processes simply couldn’t keep up. Frequent stockouts, reactive purchasing decisions, and inefficient reorder planning were creating operational friction and risking lost sales. As demand volatility increased, the need for a smarter, more scalable planning system became clear. Their objective was simple: eliminate stockouts, streamline reordering, and build a more proactive inventory planning engine. With TrueGradient’s Agentic Planning OS, the team is now moving from reactive spreadsheet-based planning to self-serve, AI-driven decision-making. Excited to help them build a more resilient and intelligent planning operation as they continue to scale. 🚀