McDonald's — NLP & ML at 15M Monthly Interactions

Global QSR | 15M monthly customer interactions

Trusted by enterprises across

Six-hour response times, at the worst moment

cDonald's managed 15 million monthly customer interactions across siloed teams using disparate technologies, resulting in six-hour response times during a critical mobile rollout — with NPS and revenue declining at the worst possible moment.

Siloed teams, disparate tools

15 million monthly interactions were spread across teams using disconnected technologies.

Siloed teams, disparate tools

15 million monthly interactions were spread across teams using disconnected technologies.

NLP and ML inside the platforms already in use

We mapped real-time process flow and resources through structured interviews with internal teams and vendors, then implemented advanced Natural Language Processing (NLP) and ML inside existing platforms to improve message relevance and efficiency. We consolidated fragmented data sources into unified customer intelligence, and established a vendor pilot structure to enable iterative improvement without business interruption.

Mapped the real process

Structured interviews with internal teams and vendors surfaced the true process flow and resource gaps.

NLP + ML at scale

Social care + call center operational costs

Unified customer intelligence

Fragmented data sources were consolidated into a single customer intelligence layer.

Response-time challenges morphed into new ways of measuring performance.

McDonald's

Faster, cheaper, measurable

Response time, operating cost, and measurement all improved together.

Book A Call

6 hrs → <20 min

90% improvement in response time

~40% lower

Social care + call center operational costs

ROI Framework Built

Net measurement models for customer-care economics

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