Backlog Forecasting

– Create backlog calculation file
– Supply and demand forecasting
– Determining shifts & working hours of the Fulfillment Center

Smart Inbound Capacity

– Creating and developing mathematical algorithms
– Python model development
– Inbound capacity managment
– Dynamic capacities
– Reducing operational and human resources costs
– Improving customer satisfaction
– Improve Mass cancellation rates
– Improving OCT & OTD rates
– Smarting manual processes

OCT Forecasting

– OCT timing prediction
– Improving marketing processes
– Customer expected OCT forecast
– Improvment in identifying sales Toplines

Improve NPS (CORE)

– Identifying customer touch point with business
– Improving processing processes
– Creating new customer engagement models

Improve employee effectiveness metric

– 50% Participation rate
– Implementing reward models
– Personnel performance development
– ENPS

Reduce operational & process cost

– Identifying weakness
– Improve manual processes
– Proper use of human resources

Flex Development – Flexible Staff

– Analysis and development of Flex manpower
– Planning HC
– Coordination of OPS Flex staff
– Monitoring performance
– Creating an evalution index

Inventory Improvment – Large Warehouse

– Increasing Inventory
– Creating a product classification model
– Creating product placement rules

Warehouse Scalability

– Scale without service degradation: absorb +50% sustained and +30% in 48h with OT ≤5%.
– Cost control at scale: keep unit cost within ±5% at 1.5× volume.
– SLA stability: Ship-on-time ≥98% with P95 lead time unchanged under load.
– Operational & space flexibility: manage I/O flow with dynamic slotting; cube utilization ≥80%, overflow ≤2%.
– Workforce agility: ≥70% cross-trained; roster changes effective in <24h. - Systems scale & resilience: low P95 latency, 99.9% uptime, RTO ≤30 min / RPO ≤5 min. - Network, automation, governance: activate 3PL ≤72h; add capacity modules in ≤2 weeks (<5% disruption); trigger actions when utilization >95% for 3 days.

3PL Cost Optimization

– Cut cost per shipment 10–15% in 6–8 weeks with no SLA/quality impact (OTD ≥98%, damage ≤0.3%).
– Minimize pricing leakage: DIM/oversize ≤1%; capture accessorials ≥99% and pre-quote ≥95%.
– Smart routing: send ≥90% of orders to the lowest total-cost eligible carrier; keep carrier mix healthy (no lane >60% one carrier).
– Forecast reliably: WAPE ≤10% for volume and shipping cost.
– Delivery performance: first-attempt ≥98%; reschedule/return ≤3%.
– Operational efficiency: vehicle/cube utilization ≥80%; pickup compliance ≥95%.

Box Size Optimization

– Cut total shipping cost 12–20% via DIM-weight right-sizing.
– Cover ≥90% of orders with an optimized set; reduce box SKUs 30–50%.
– Hit ≥80% cube utilization; keep oversize/DIM ≤1%, overpack <5%, forced splits <2%. - Reduce materials: corrugate ≥20%, void-fill ≥40%; shrink box-inventory footprint ≥25%. - Improve quality: damage/DOA −30–50% with protection standards. - Speed operations: pick/pack time −10–20% via simpler/automated carton selection; cartonization accuracy ≥95% (historical), ≥90% (new SKUs in 30 days). - Standardize sourcing: 8–12 core sizes with regional MOQ/unit-cost targets. - Continuous improvement: quarterly re-optimization or on >10% SKU-mix shifts.

Design Inbound Capacity

– Right-size capacity: doors, labor, and MHE for P95 +20% demand with no overtime.
– Fast flow: Dock-to-Stock ≤8h (P95); fast-lane SKUs ≤2h; staging ≥1.5× max unload per wave.
– Productivity & utilization: unload ≥30 pallets/door/hr; receiving ≥1,200 CPH; putaway ≥18 pallets/ph; empty travel ≤40%; labor 85–95% with WAPE ≤10%.
– Appointment discipline: ≥95% compliance; yard dwell ≤45 min; door changeover ≤20 min.
– Quality & accuracy: ASN ≥98%, variance ≤1%, receipt accuracy 99.9%, damage ≤0.2%, discrepancies closed ≤24h.
– Cost & safety: reduce cost per received unit 10–15% YoY; zero recordables; 100% near-miss capture/closure.
– Scale & systems: absorb +30% in 48h via flex/cross-training; 100% WMS-directed putaway, ≥95% dock-scheduler adoption, real-time KPI dashboards.

Dimensions Study

– Establish a single source of truth: measured L×W×H and weight for ≥95% of shipped volume; 100% of new SKUs measured within 48h of inbound.
– Ensure accuracy: dimensions ±3 mm or ±1%; weight ±10 g or ±1% (whichever larger).
– Improve efficiency: misfits/void-fill −≥30%, cube utilization +≥10%, DIM surcharges ≤1% of parcels.
– Quality control: flag supplier vs. measured variance >2% and resolve within 24h; keep device drift ≤0.5%/month.
– Data integrity: store both “naked” and “packaged-for-ship” dimensions; 100% nightly WMS/OMS sync.
– Governance: re-measure when SKU mix shifts >10% or damage/returns rise >0.5 pp.

Heavy Weight Door-To-Door Delivery

– Service timeliness: On-time P&D ≥95% (2-hr windows); ETA P95 ±15 min; first-attempt ≥98%; reschedule ≤3%.
– Safety: 100% two-person handling for >35 kg; zero LTIs; 100% near-miss capture.
– Quality & claims: Damage/claims ≤0.3%; resolution ≤10 business days.
– Customer experience: Rating ≥4.8/5; complaints ≤0.5%; NPS ≥60.
– Site efficiency & white-glove: Dwell P95 ≤45 min; room-of-choice/assembly/debris ≤30 min avg; SOP ≥99%.
– Proof & compliance: 100% ePOD (photos, geostamp, chain-of-custody); permits/COI on file.
– Capacity & utilization: Truck weight/cube ≥80%; backhaul fill ≥25% (where applicable).
-Cost & sustainability: Cost/stop ±5% of target; accessorial capture ≥99% (pre-quoted ≥95%); CO₂e/stop −10% YoY; low-emission/EV ≥20% of fleet hours.

Smart Logestic Capacity

– Provide a single, clear answer to “Do we have enough capacity?” per site/area over 1–8 weeks.
– Forecast workload (WAPE ≤10%) and translate it into required FTE/MHE/doors/trailers by shift/day.
– Keep utilization 85–95% with overtime ≤5%; maintain Ship-on-time ≥98% with P95 lead time unchanged.
– Raise proactive alerts when utilization >95% or bottlenecks emerge.
– Recommend ranked actions with impact/confidence; auto-generate staffing rosters under skills/break rules.
– Orchestrate cross-site/shift rebalancing to cut cost-to-serve by 8–12% without SLA impact.
– Support what-if scenarios (mix, no-shows, caps) with instant KPI/cost comparisons.
– Integrate with WMS/TMS/HRIS (refresh ≤15 min, CSV/Excel export), offer NL interface (Chat/Slack/Teams), and ensure RBAC, audit trails, approvals.

BPMN OPS

– Standardize end-to-end ops in BPMN 2.0 covering ≥90% of volume workflows.
– Speed & quality: cycle time −20–30%, handoff delays −≥25%, defects/rework −≥40%.
– SLA reliability: ≥95% adherence via timers, escalations, and service-level monitoring.
– Automation-first: identify ≥30% of manual tasks for RPA/API.
– Transparency & compliance: version-controlled models with RACI; mapped controls; zero critical UAT findings.
– Instrumentation: attach KPIs to start/end events (lead time, WIP, throughput).
– Enablement & governance: onboarding time −≥50%; change approvals ≤5 days; quarterly re-validation.
– Systems integration: 100% ERP/WMS/CRM touchpoints modeled as service tasks.

Designing Bikers Performance System

– Safety & compliance: LTIR ≤0.5/100k km, speeding ≤1/100 km, PPE ≥99%; shift ≥95%, geofence ≥98%; zero critical violations.
– On-time & reliability: P/D ≥95% on time; P95 lead time on target; acceptance ≥85%, cancellations ≤2%, no-show ≤1%.
– Productivity & routing: drops/hour ≥ target; idle km ≤10%; km/drop −10%, detour ≤5%, first-attempt ≥98%.
– Customer experience: rating ≥4.8/5; complaints ≤0.5%.
– Asset health: vehicle uptime ≥98%; on-time maintenance ≥95%.
– Cost efficiency: cost/drop ±5% of target; fuel/lube per 100 km −8% YoY.
– Sustainability: CO₂e/drop −10% YoY; EV share ≥20% in 12 months.
– People & fairness: overtime ≤5%; churn ≤3%/month; utilization 85–95%; normalized KPIs & weekly scorecards.

FTE Allocation System

– Optimize FTE allocation across projects/teams to eliminate under- and over-allocation.
– Provide transparent visibility into capacity, workload, and labor costs on a weekly/monthly cadence.
– Align staffing with project priorities, deadlines, and required skills to maximize impact.
– Tie capacity plans to budgets and generate forward-looking labor-cost forecasts.
– Reduce delivery risk by flagging capacity gaps and skill mismatches early.
– Enable what-if scenarios to evaluate trade-offs before committing resources.
– Establish a repeatable, auditable allocation process with role-based approvals.

Hub Defyning

– Reduce cost-to-serve by ≥12–20%.
– Achieve ≥95% D+1/D+2 coverage with no SLA degradation.
– Cut linehaul + last-mile distance by ≥15%.
– Size for P95 throughput +20% buffer; overtime ≤5%.
– Be within ≤60 min of ≥2 major carrier/sort hubs.
– Ensure labor availability; hiring lead time ≤21 days.
– Enable ≥30% expansion; meet target €/m² lease rate.
– Resilience: RTO ≤30 min, RPO ≤5 min; low site risk.
– Lower CO₂e/parcel by ≥10%; pursue green certifications.
– ROI ≥20%, payback ≤24 months.

Performance Measurement

– Define objective KPIs for capacity, utilization, cost, and delivery.
– Provide near-real-time visibility into plan vs. actual performance.
– Improve forecast accuracy through continuous calibration.
– Detect and correct under-/over-allocation early.
– Surface skill gaps and capacity shortfalls before they impact milestones.
– Tie staffing performance to project outcomes (on-time, throughput, quality).
– Enable data-driven course corrections and scenario-based decisions.
– Drive continuous improvement with trend analysis and closed-loop feedback.

Eliminating Overtime

– Cut paid overtime hours by ≥50% within 3–6 months (baseline: last 12 weeks).
– Keep individual utilization within the 85–95% band without exceeding standard weekly hours.
– Limit consecutive OT weeks to 0 and keep average weekly hours ≤ standard (e.g., 40h).
– Reduce demand–capacity mismatch to ≤5% per week via proactive FTE rebalancing.
– Build skill redundancy so that ≥2 qualified people can cover every critical skill.
– Achieve forecast accuracy WAPE ≤10% for labor hours to prevent last-minute crunch.
– Enforce planning discipline: ≥90% of work scheduled ≥2 weeks in advance (no ad-hoc spikes).
– Lower overtime cost by ≥40% while maintaining on-time delivery and quality KPIs.
– Trigger real-time alerts when utilization >95% or OT >2h/person/week, with corrective actions.
– Make overtime approval-only & exceptional: ≤5% of staff log any OT in a month.