Regional Food Distributor Cuts Delivery Exceptions in Half

The Challenge

A regional food distributor operated 12 facilities across three states, managing hundreds of routes daily to retail locations and food service customers. Their TMS tracked basic shipment status, but planners had no visibility into upstream conditions—facility performance, carrier capacity, labor constraints—that predicted problems.

When service exceptions happened (delayed pickups, missed delivery windows, capacity overruns), the response was reactive. Planners and operations managers discovered problems through customer calls, not data. Exception handling was ad hoc, with no clear routing, no audit trail, and no systemic learning from repeat problems.

The team was spending 40+ hours per week fighting fires, with little time for proactive optimization.

The Approach

We started with discovery workshops with planners, facility managers, and operations leadership to map their biggest pain points and current data sources. They had a working TMS, but WMS systems at each facility were fragmented, and labor data was scattered across timeclocks and spreadsheets.

We built integrations to connect all 12 facilities' WMS systems and labor data into a unified view. We normalized the data—conflicting timestamps, carrier codes, facility identifiers—so events could be correlated accurately. Then we built:

• Signal Map: A network-wide operations dashboard showing shipment status, facility performance, and labor availability in real time
• Exception Desk: Intelligent exception detection and routing—when a route falls behind or a facility hits capacity, the system detects it and routes it to the planner or facility manager who can act
• Trend Analytics: Weekly reporting on exception causes, resolution time, and outcome, so the team could identify systemic issues

We went live with a pilot of 20% of routes, validated the data and workflows, then rolled out network-wide.

The Results

Within 3 months of full rollout, the company had reduced service exceptions by 48% and improved on-time delivery by 12 percentage points. Planners spent 2 hours less per day handling reactive problems and 2 hours more on load planning and carrier optimization.

The company also discovered systemic issues they hadn't seen before: a regional facility operating above safe capacity during peak season, specific carrier partners who performed consistently poorly on certain route types, and labor scheduling patterns that created cascading delays.

The Quote

"Before Waymark, I spent 60% of my time dealing with exceptions after they happened. Now I see them coming and prevent them. The visibility alone is worth it, but the exception routing saved us a dedicated ops coordinator. We're a more efficient operation."

— VP of Distribution Operations, Regional Food Distributor

Key Takeaways

• ✓ Unified visibility transforms decision-making. When planners see the full picture—not just TMS data, but facility performance and labor constraints—they prevent problems instead of just reacting.
• ✓ Exception routing compounds the value. Detecting exceptions earlier is good. Routing them intelligently with context is transformational. The Desk became the standard way this team managed problems.
• ✓ Small improvements at scale add up. A 15-minute earlier exception detection across 200 routes daily is 50 planner hours per week of prevention time.
• ✓ Systemic issues surface through data. The company discovered structural capacity and carrier performance problems that were previously invisible, enabling bigger strategic moves.