Macromex, one of Romania's largest food distributors, doubled its sales team's efficiency and now recovers $100K in missed revenue weekly using OptiComm's need prediction, sales intelligence and AI voice agents. These results came without any additional headcount.
Macromex's sales agents were managing large customer portfolios with no way to see which accounts were about to reorder, which had gone quiet, or which products a client had quietly stopped buying. Follow-up was manual and reactive. Account knowledge lived in individual reps' heads, so when someone changed territory or left the company, that knowledge went with them.
The only way to grow revenue under this model was to hire more sellers. That drove up costs and capped how fast the business could scale.
OptiComm replaced manual tracking and guesswork with a predictive system that tells each agent exactly who to contact, when, and why. The platform analyzes historical order data to flag missed reorders, slowing accounts, and cross-sell opportunities, then turns those signals into a prioritized daily action list.
Each morning, a seller opens a ranked queue instead of a blank calendar. AI voice agents handle first-touch outreach on lower-priority accounts, calling to confirm reorders or flag gaps, so human reps can spend their time on the highest-value conversations. When a customer's order pattern breaks (a skipped reorder, a shrinking basket size), the system catches it automatically instead of waiting for someone to notice.
Rollout happened in three stages: an audit of existing sales data and workflow gaps, configuration of the prediction models and intelligence dashboards, and deployment of the daily action workflows alongside the AI voice agents.
