Gradient Works vs ODL Studio

Gradient Works combines account scoring, territory planning, rep book management, lead routing, and pipeline analytics for B2B commercial sales teams. Market Map scores CRM accounts from 0–100 based on similarity to closed-won customers and syncs scores to Salesforce. Carve lets RevOps and Sales Strategy model territory scenarios with fit scores and send a selected design to Salesforce. Bookbuilder aims to keep rep books at roughly 100–150 accounts, replacing worked accounts with higher-fit accounts. Routing handles lead-to-account matching and assignments for inbound MQLs, handoffs, customer-success assignments, and opportunity escalations inside Salesforce. AI Researcher supports custom account-research prompts and writes qualitative answers to Salesforce. Integrations include Salesforce, HubSpot, Slack, Salesloft, Outreach, Google Calendar, Office 365, and CSV import; only one calendar and one sales-engagement integration can be active at once. Salesforce is required for the full platform, while HubSpot and CSV support Account Research and Carve territory planning. A free plan is available. Growth costs $799 a month, billed paid annually.

ODL Studio is a free, standalone desktop application for customer-location analysis, sales territory design and fleet routing and scheduling. It stores data in Excel spreadsheets that can also be edited in Excel. The software geocodes addresses or postcodes, displays customers on a map and exports maps to PDF or Word. Users can paint territories on a map or generate them with an optimisation algorithm, then create reports with maps and territory statistics. For fleet planning, it schedules routes on real road networks, reports mileage and drive-time statistics, and shows routes on an interactive map. ODL Connect can call Studio functions from the command line for scheduled or on-demand background tasks, but it is a separate closed-source module. ODL Studio is free and open source under LGPL, with downloads listed for Windows, Linux and Mac. The Linux and Mac package requires Java Runtime 8 or higher, and the maker recommends at least 6 GB RAM and a dual-processor CPU. The downloads page lists version 1.4.1, released 3 November 2017.