# Solutions Each solution is built for one company, from its own data, and deployed and maintained by us. Below are the use cases we describe on the site — and many others are possible. Each has its own page on the site with more detail. ## Recommendation engine Recommend the right products to each shopper from their own behavior and purchase patterns — on Shopify or any B2C storefront. Generic “you may also like” widgets recommend what is popular, not what this shopper is likely to buy next. The result is recommendations people scroll past and carts that stay small. **What we build** - A recommendation model trained on your own catalog, sessions and order history - Placements where they earn their space — product pages, cart, post-purchase, email - Integration with Shopify or the B2C website you already run - Monitoring, so recommendations stay relevant as your catalog and season change **What it learns from** - Browsing behavior and sessions - Purchase history and repeat-purchase patterns - Products commonly bought together - Catalog attributes and availability **What changes** - Higher total cart value - More products per order - Revenue growth from the traffic you already have More: [Recommendation engine](https://www.decigrid.com/solutions/recommendation-engine/). ## Inventory forecasting Know what to stock, in which SKU and how much — from geography, multi-year sales history, buying trends and more. Stocking decisions made from last month’s sales and gut feel leave cash tied up in the wrong SKUs while the right ones run out. **What we build** - A forecasting engine that monitors inventory continuously, not once a quarter - SKU-level recommendations: what to stock, how much, and where - Integration with the inventory, order and sales systems you already have - Ongoing tuning as buying trends and your range change **What it learns from** - Geography and location-level demand - Sales history across multiple years - Buying trends and seasonality - Other variables specific to your business **What changes** - Fewer stock-outs on the products that sell - Less cash tied up in slow-moving stock - Stocking decisions backed by data, not guesswork More: [Inventory forecasting](https://www.decigrid.com/solutions/inventory-forecasting/). ## AI coupons & rewards Bring customers back again and again with the right reward at the right moment — and turn low-traffic windows into sales. Blanket discounts train customers to wait for a sale and still miss the ones who are drifting away. Quiet days stay quiet. **What we build** - An engine that decides who gets a reward, which one, and when - Notifications and coupons delivered through the channels you already use - Campaign timing aimed at your low-traffic days and hours - Support for both online and offline sales **What it learns from** - Purchase frequency and recency - Customer lifecycle stage - Traffic patterns by day and hour - Response to past offers **What changes** - Customers who return again and again - A longer customer lifecycle - Fewer low-traffic days and hours More: [AI coupons & rewards](https://www.decigrid.com/solutions/coupons-and-rewards/). ## Supply chain optimization Find the bottlenecks across your whole supply chain, compare against industry standards, and get concrete recommendations. Delays and costs hide between systems and teams. By the time a bottleneck shows up in a report, it has already cost you. **What we build** - Analytics across the whole supply chain, from your own data sources - Bottleneck detection and root-cause analysis - Benchmarks against industry standards - Prioritized recommendations, kept current as conditions change **What it learns from** - Supplier and lead-time data - Warehouse and fulfillment operations - Order and shipment flows - Industry benchmarks **What changes** - A clear view of where the chain slows down - Fixes prioritized by impact - Operations that improve continuously, not once a year More: [Supply chain optimization](https://www.decigrid.com/solutions/supply-chain-optimization/). ## Marketing analysis Analyze and optimize performance marketing across every channel, so each dollar goes where it returns the most. Every channel reports its own success. Without one honest view across all of them, budget follows the loudest dashboard, not the best return. **What we build** - One analysis across all your marketing channels - Identification of the strategies and channels that actually return - Recommendations on where to move spend - Integration with the ad and analytics platforms you use **What it learns from** - Spend and results by channel and campaign - Customer acquisition and repeat purchase - Sales and order data - Seasonality and promotions **What changes** - The best return on every dollar spent - A clear answer to which strategy works best - Budget decisions backed by your own data More: [Marketing analysis](https://www.decigrid.com/solutions/marketing-analysis/).