Smarter Shelves, Faster Fulfillment

Join us for a practical, human-centered dive into No-Code Slotting Optimization to Maximize Shelf and Bin Utilization, showing how simple rule builders, simulations, and real data let you reclaim space, shorten travel, and improve accuracy without code, heavy projects, or disruption.

From Data to Decisions Without Writing Code

Turn messy order history, dimensions, weights, and handling constraints into trustworthy placements using visual rules instead of scripts. Map velocity bands, storage classes, and compatibility limits, then preview impacts before committing. Teams see why each position was chosen, building confidence, speed, and accountability.

Connect Your Sources

Bring WMS exports, item masters, slot dimensions, and replenishment logs into one approachable canvas, whether files or live feeds. Validate units of measure, normalize attributes, and automatically flag noisy records, so your next placement reflects reality instead of wishful thinking, debates, or outdated assumptions.

Model Velocity the Practical Way

Use rolling windows that smooth spikes yet keep seasonality visible, blending picks, cubes, and touches to express true demand pressure. Share transparent logic with supervisors, inviting critique that improves accuracy while avoiding black-box confusion, finger-pointing, and complacency when conditions change overnight.

Rules That Place Every SKU Where It Belongs

Craft readable, layered rules that weigh velocity, cube, affinity, and replenishment cost, then let simulations reveal trade-offs. Rather than micromanaging bins, you declare intent and guardrails, accelerating improvements while reducing tedious firefighting, rework, and the fragile tribal knowledge that disappears with turnover.

Priority Tiers That Reflect Demand Variability

Define flexible tiers across families and waves, so rising items pull forward automatically while slow movers drift back without painful projects. When an outlier breaks pattern, capture the exception as a rule, documenting reasoning that survives audits, vacations, and the next high-stakes inventory count.

Handle Exceptions Before They Become Fire Drills

Quarantine fragile, leaky, or regulated items with explicit placement patterns and signage cues. Predefine substitutes, kit members, and cross-dock candidates, so the engine never guesses under pressure, protecting service levels, worker safety, and customer trust when tight deadlines collide with imperfect data.

Balance Density With Pick Ergonomics

Push cube utilization high without sacrificing reach, visibility, or motion economy by tying height, weight, and grip constraints directly to rules. The result is denser storage, fewer injuries, calmer audits, and happier teams who finish shifts strong instead of exhausted and discouraged.

Heatmaps That Reveal Hidden Waste

See dwell, touches, congestion, and dead zones as layered colors that update instantly when rules shift. The most stubborn bottlenecks stop hiding behind averages, letting your team act early, move precisely, and celebrate measurable wins that resonate from the dock to finance.

What-If Scenarios You Can Trust

Stage multiple futures at once, testing seasonality, assortment changes, or network shifts without risking live operations. Compare outcomes with consistent metrics, publish decisions, and invite reviews, transforming change from nervous guesswork into a repeatable habit that compounds speed, capacity, and morale.

Versioning and Rapid Rollbacks

Save snapshots before major moves and roll back instantly if new constraints appear on the floor. This safety net encourages experimentation, catches unintended side effects, and protects service levels while teams learn faster than any traditional, code-heavy, once-a-year re-slotting project.

Operational Wins: Travel, Replenishment, Accuracy

Well-placed items shorten footsteps, prevent awkward reaches, and smooth replenishment. By aligning storage classes with demand tempo, you reduce split locations and unnecessary touches, which boosts accuracy and throughput. The floor feels calmer, while planners deliver predictable service despite promotions, disruptions, and staffing surprises.

Change That Sticks Through Collaboration

Bring Supervisors, Engineers, and IT Together

Host short working sessions where stakeholders propose rules, test scenarios, and review visual outcomes. Because the logic is readable, decisions travel smoothly from floor to boardroom. Everyone recognizes the why behind changes, reducing politics, surprise escalations, and the dreaded rework marathon after go-live.

Field Feedback That Shapes the Next Iteration

Celebrate Wins and Share the Playbook

Ninety Days to Visible Impact

Move from assessment to measurable results with a paced, confidence-building plan. Start small, ship improvements weekly, and scale after proof is obvious. Knowing clear milestones lowers anxiety, aligns stakeholders, and ensures progress survives vacations, audits, and peak season without losing momentum or quality.

Weeks 1–3: Baseline, Clean Data, Early Wins

Audit slots, verify dimensions, and validate demand windows. Launch a handful of rule-driven relocations in forgiving areas to showcase travel savings quickly. Share visuals daily, keep change requests small, and build trust by resolving floor feedback within hours rather than weeks.

Weeks 4–8: Deepen Rules, Protect Ergonomics

Introduce affinity logic, replenishment thresholds, and equipment-aware constraints. Expand to busier aisles, monitoring heatmaps for congestion. Publish weekly retrospectives with metrics that matter, inviting comments and questions, so understanding spreads faster than rumors and confidence grows with every proved, visible improvement.

Measure What Matters and Keep Improving

Choose a concise set of indicators that reflect reality on the floor: space consumed, touches per order, travel per line, and pick accuracy. Review weekly, investigate outliers, and update rules only where evidence demands change, preserving stability while compounding benefits month after month.

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