Stop Managing Routes. Start Optimizing Networks.

How distribution and beverage operations eliminate structural inefficiency — before it compounds.

The problem isn’t your routes. It’s the network underneath them.

Most distribution and beverage operations reroute once a year — if they’re consistent about it. The result is a delivery network that was designed for a business that no longer exists. Depots acquired years ago still define territory. Warehouses that were in balance five acquisitions ago are now running at 30% over capacity while neighboring locations sit underutilized. Trucks from two warehouses converge on the same accounts because no one has redrawn the boundary since the last merger.

Dispatchers and planners feel this every day. Overtime at one depot. Idle trucks at another. Drivers covering territory that would be faster from a different warehouse. It’s visible before you can measure it — and it’s expensive before you can fix it.

The old fix was hiring a consultant, building Excel models for months, and running 25 iterations before landing on a plan no one could easily implement. Or you lived with the inefficiency another year and called it a known issue.

Neither option is acceptable when margins are tight and every cost-per-stop has to justify itself.

What network optimization actually means

Network optimization is the process of reassigning customers, territories, and depot associations at a structural level — not just resequencing stops within existing routes. It answers questions that daily routing tools can’t:

• Which warehouse should this customer belong to?
• Can we consolidate from three depots to two, and what does that cost in mileage vs. save in fixed overhead?
• If we bring on a new brand or absorb an acquisition, how do we model the network impact before committing?

Route planning handles the daily execution layer. Network optimization handles the foundation that makes daily execution possible.

How Wise Systems approaches it

Wise Systems’ network optimization capability is built into our Strategic Planner product. It gives operations leaders the tools to rebalance across multiple warehouses, model scenarios, and push finalized plans into execution — without a months-long consulting project.

• Multi-depot rebalancing — Set capacity thresholds per depot and redistribute customers across warehouses automatically. The optimizer respects your constraints and eliminates territorial crossover. An overcapacitized depot running at 96,000 units can be brought to its target of 70,000, with excess redistributed to neighboring depots, while keeping total mileage within range.
• Full burn-down reroutes — Remove all depot, territory, day, and frequency associations and let the system build a clean, optimized network from scratch. This is the right move when you’re absorbing an acquisition, restructuring territories, or doing an annual rebuild and want to stop patching a broken foundation.
• Lasso tool for problem areas — Draw a boundary around any area of overlap, flag those stops as unassigned, and let the optimizer determine the best depot association for each one. No need to tear apart your entire network to fix a specific region.
• Side-by-side scenario comparison — Build up to 50 plan scenarios per depot. Compare before-and-after on mileage, time, territory distribution, and revenue. Export the comparison to align sales, delivery, and operations on any territory or frequency changes — with the data to back every decision.
• One-click Encompass sync — Push customer and fleet data in from Encompass with one click. Push your optimized plan back the same way. No file reformatting, no import failures that drop customers because a comma was in the wrong place.

When to use it

• Scheduled reroute — Annual or semi-annual network rebuild with full depot rebalancing and updated service policies.
• Depot imbalance — One warehouse is over capacity while others have headroom. Redistribute stops without disrupting what’s working elsewhere.
• Acquisition integration — Absorbed new territory or a new brand? Model whether to consolidate depots or run separate networks before committing resources.
• Ongoing optimization — Add or lose customers without accumulating structural debt. Run the optimizer monthly to keep your network clean year-round, rather than waiting for an annual fire drill.

The compounding cost of waiting

Every season you don’t rebalance, service policy decisions from years ago continue driving your cost per visit. The inefficiency isn’t static — it grows as your customer base shifts, as you add or lose accounts, as acquisitions change your geographic footprint. A network that was optimized three years ago is probably not optimized today.

The goal isn’t a one-time reroute. It’s building the capacity to respond to your business as it actually operates — where gaining or losing a customer doesn’t mean waiting until next year’s reroute to absorb the change cleanly.

Ready to see it?

If you’re running multiple depots and you know the network isn’t balanced, we can show you how network optimization works against your data. Contact us to schedule a demo.