Gaimify transforms Excel and Power BI spreadsheets used by small and medium supply chain teams into AI‑ready systems. It normalizes and standardizes data, automates manual workflows, and layers AI models for forecasting, S&OP, scenario analysis, and anomaly detection, all without requiring a costly ERP implementation.
Funding
$105K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Supply chain teams in small and medium enterprises often rely on Excel and Power BI for planning, leading to fragmented data, manual copy‑paste workflows, and limited ability to apply advanced analytics. Implementing a full ERP system to enable AI-driven forecasting and scenario analysis is typically cost‑prohibitive and time‑consuming for these organizations.
Solution
Gaimify provides a pilot‑based service that transforms existing spreadsheets into an AI‑ready data layer without requiring an ERP implementation. The company normalizes and standardizes spreadsheet data, automates routine updates and joins, and then applies AI models for forecasting, S&OP, scenario analysis, anomaly detection, and decision support. The solution is delivered in 3–4 weeks and integrates directly with Excel and Power BI, allowing supply chain teams to leverage enterprise‑grade analytics while avoiding multi‑hundred‑thousand‑dollar ERP projects.
Target Audience
Primary customers are supply chain teams at small and medium enterprises (annual revenue $10 M–$1 B) that currently manage planning processes using Excel and Power BI.
Features
- Data normalization and metric standardization to create a clean, AI‑ready layer from heterogeneous Excel files
- Automated workflow engine that replaces manual copy‑paste, performs data checks, and synchronizes updates across spreadsheets
- Built‑in AI modules for demand forecasting, sales‑and‑operations planning, scenario simulation, and anomaly detection
- Generation of visualizations and interactive dashboards within Power BI for rapid insight delivery
- Optional AI‑driven chatbots that provide natural‑language query access to supply chain data
- Pilot pricing model ($5 k–$30 k) with a 3–4 week implementation timeline and included data cleanup