Charles Gabus Ford

How Charles Gabus Ford Went From Four BDC Reps to One Without Losing a Lead

Charles Gabus Ford uses TECOBI to reduce manual follow-up pressure while keeping customer engagement active across the pipeline. By shifting repetitive outreach to Hybrid Intelligence, the store created a leaner BDC structure, gave managers better visibility, and helped the sales team focus on customers who needed human judgment.

Charles Gabus Ford customer story graphic

Customer story video

Charles Gabus Ford customer story

See how Charles Gabus Ford uses TECOBI to sustain follow-up with a leaner BDC structure and less manual task pressure.

Operating challenge

Manual BDC workflows were expensive to scale and hard to sustain.

Charles Gabus Ford needed consistent engagement across a large pipeline, but the traditional model depended on people completing reminders and manually maintaining every touch. As showroom demand increased, long-term opportunities were the first conversations at risk.

  • BDC work depended heavily on manual task completion.
  • Long-term leads needed consistent coverage.
  • The store needed fewer repetitive tasks, not another task queue.
  • Customer handoff had to stay visible and controlled.

TECOBI approach

Communication moved into one AI-supported operating layer.

TECOBI centralized customer communication and used Hybrid Intelligence to maintain follow-up in the background. Auto Bots® handled repetitive engagement while humans took the conversations that required relationship-building, judgment, and deal movement.

  • Calling and texting lived in one customer workflow.
  • Auto Bots® sustained engagement over time.
  • Managers could see where human attention was needed.

Human handoff

AI reduced task pressure without removing people from the sale.

The dealership created a cleaner division of labor. AI kept the process alive, and people handled the moments that could change the outcome. That made the BDC function leaner without weakening customer coverage.

  • Repetitive work moved to AI.
  • Human reps focused on engaged customers.
  • Older leads had a path back into active conversations.

Result

The store reduced BDC staffing while improving conversion.

Charles Gabus Ford reduced BDC staffing from four reps to one while keeping customer engagement active. The outcome was lower overhead, stronger conversion, and less manual pressure on the team.

  • BDC reduced from four reps to one.
  • Lead-to-sale conversion improved by up to 30%.
  • Older leads re-engaged through sustained follow-up.

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