sharpr.ai

What It Is

sharpr.ai is an AI supply chain planning tool for CPG manufacturers and distributors, designed to replace spreadsheets and traditional ERP planning modules. It brings demand forecasting, S&OP, and replenishment planning into a single engine, highlighting “zero $ to implement” and “2 weeks to first forecast.” It is best suited to teams with fast-moving supply chains, large SKU counts, and frequent reforecasting needs.

Core Capabilities

Its AI capabilities center on SKU-by-week forecasting. The site says it uses a foundation-model forecast engine, supports covariate-aware forecasting and automatic bias correction, automatically selects statistical and intermittent-demand models by SKU, and can handle promotions, seasonality, new products, and zero-sales periods. At the workflow level, it supports manual overrides for sales, marketing, and consensus forecasts, with role-based permissions, locking semantics, and full audit logs. For replenishment, it provides dynamic safety stock, reorder points, EOQ, multi-warehouse planning, and inter-warehouse transfer recommendations. For integrations, it can connect to SAP, Oracle, NetSuite, Snowflake, or CSV, but public API details are not disclosed.

Pricing and Trial

The official site mentions “Try for free” and “One plan. All capabilities,” and explicitly states a $0 implementation fee. However, the main content does not provide subscription pricing, seat fees, contract terms, or free-trial limits, so the actual procurement cost still requires a quote. Compared with traditional IBP systems, its low implementation barrier is a clear selling point, but pricing transparency is limited.

Pros and Cons

The main advantages are its broad coverage of planning scenarios and its ability to connect forecasting, manual adjustments, auditability, and replenishment. Its two-week go-live narrative is also much lighter than traditional projects that often take 6–18 months. The drawbacks are the lack of public accuracy benchmarks, customer case studies, and third-party validation. On data privacy, only permissions and audit features are visible; there is no clear information on encryption, data residency, or compliance certifications. Scenario planning, demand sensing, multi-echelon inventory optimization, and sustainability metrics still appear to be on the roadmap.

Who It’s For and Access from China

It is better suited to CPG manufacturers, regional distributors, multi-warehouse networks, and demand planning teams migrating away from Excel. If a company already has a complex SAP IBP/o9/Kinaxis implementation, it should carefully assess integration depth and replacement costs. Access from China is currently unknown, and there is no disclosed information on a Chinese interface, Chinese-language support, or local payment methods. Domestic users in China may also want to evaluate local APS, supply chain planning, or demand forecasting systems as alternatives.