Unlock Supply Chain Transformation That Actually Works With ClearWork

Most supply chain transformation efforts fail to deliver lasting impact—not due to a lack of technology, but because they overlook the people and processes behind the flow of goods. Traditional approaches rely on consultant interviews and lagging KPIs, missing the day-to-day realities of planners, buyers, and logistics teams.

ClearWork changes that. By capturing real-time user activity across ERP, planning, and fulfillment systems, ClearWork identifies where bottlenecks, policy gaps, and manual workarounds are slowing your operations. It empowers teams with AI-driven guidance, dynamic SOPs, and behavior-based insights to streamline your entire supply chain—from procurement to delivery.

Whether your goal is to improve on-time fulfillment, reduce costs, or build resilience, ClearWork enables a people-first, data-backed supply chain transformation that aligns strategy with how work actually happens.

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Supply chain team using auto process discovery to understand the current state and challenges
Future state supply chain system after a successful go live with clearwork
COO showing the savings and adoption of the new supply chain process using clearwork

ClearWork Enables Transformation Across The 5 Key Project Stages

1. Discovering Current State

Gain objective, real-time insights into "as-is" processes and user activities.

2. Designing Future State

Define precise requirements and optimize workflows based on factual data.

3. Deploying Your Solution

Ensure alignment between new tech and actual operational needs, reducing rework.

4. Go-Live & Steady State

Boost user adoption with a contextually aware AI Co-Pilot and a more intuitive work experience.

5. Continuous Improvement: Continuously monitor and identify opportunities for ongoing optimization and automation

Current State: How Challenges Are Discovered

Supply chain leaders discovering the current state process and challenges using clearwork

🔴 Traditional Approach

  1. - Consultants conduct interviews with supply chain leaders focused on known issues like inventory imbalances, stockouts, and slow order cycles.
  2. - Real-time process data—such as planner workflows, exception handling, or supplier coordination—is missing or anecdotal.
  3. - Siloed systems across procurement, logistics, and production obscure end-to-end visibility.
  4. - Operators and frontline teams are rarely involved in surfacing pain points or improvement opportunities.
  5. - There is no structured record of activity, so root causes and automation opportunities are overlooked.
📉 Result: McKinsey reports that nearly 70% of digital initiatives fail—due in large part to limited data visibility, misaligned process redesign, and disengaged end users.

✅ ClearWork Approach

  1. - Tracks how users across sourcing, inventory, planning, and fulfillment actually work—across ERP, MRP, TMS, and SCM systems.
  2. - Logs task execution, order escalations, cycle times, and supplier communications.
  3. - Compares workflows to SOPs and fulfillment policies to surface delays and inconsistencies.
  4. - Captures operator and planner commentary in real-time to validate breakdowns and amplify worker voice.
📈 Benefit: Delivers a holistic, evidence-based understanding of the supply chain that includes both the process and the people—creating a stronger foundation for transformation.

Future State: What Gets Designed and Why

Designing the future state supply chain system based on actual requirements derived from clearwork

🔴 Traditional Approach

  1. - Redesigns are built around goals like lowering logistics costs or improving OTIF, but without insight into what breaks or why.
  2. - New systems (e.g., control towers, demand planning platforms) replicate the same disconnects between planning and execution.
  3. - Pain points like duplicate entries, reactive replanning, or system handoffs go unresolved.
  4. - Requirements are written by leadership without validating the needs of schedulers, buyers, or fulfillment teams.
⚠️ Risk: The transformation adds new dashboards but doesn’t reduce day-to-day friction—so adoption lags and performance stalls.

✅ ClearWork Approach

  1. - Future workflows are based on actual delays, exceptions, and user challenges—like stock transfers, urgent reorders, or missed alerts.
  2. - Functional requirements (e.g., real-time inventory sync, fulfillment alerts, intelligent order routing) are derived from live usage.
  3. - Capabilities like auto-generated replenishment plans or dynamic supplier scoring are prioritized where impact is highest.
  4. - Frontline teams review and validate the design—ensuring real-world fit.
✅ Advantage: A future-state plan that reduces manual load, improves resilience, and reflects the way work actually gets done.

Deployment: How the Solution Is Built

Process diagram showing the complexity of the current process using clearwork to plan for their transformation

🔴 Traditional Approach

  1. - New systems are deployed without tight integration—planners still rely on spreadsheets or emails for critical coordination.
  2. - Policies and documentation are theoretical, not based on real workflows.
  3. - Key roles like warehouse managers or transport schedulers are trained last or left to self-learn.
  4. - No performance monitoring or iterative improvements are in place post-deployment.
🚫 Missed Opportunity: Forbes highlights that most failed digital initiatives underestimate the importance of change management and day-one usability.
🚫 Failure Point: Requirements gaps drive 30–50% rework, delaying ROI and increasing cost

✅ ClearWork Approach

  1. - Deployments target high-friction tasks like inbound shipment tracking, allocation, and returns.
  2. - System integrations are prioritized to close gaps between planning and fulfillment systems.
  3. - SOPs, playbooks, and training materials are created from observed workflows.
  4. - Change management focuses on daily users and their systems—not just executive adoption.
✅ Outcome: Seamless adoption, reduced errors, and faster value realization from transformation investments.

Go-Live: What the User Experiences

A happy user of the supply chain system after go live and using clearwork AI Co-Pilot to adopt the solution with ease

🔴 Traditional Approach

  1. - New systems go live with little or no embedded help—leaving users guessing at how to handle changes.
  2. - Alerts are missed, inventory updates are late, and supply/demand mismatches persist.
  3. - Teams revert to legacy workarounds to get things done—introducing new risk and confusion.
  4. - Frontline adoption is weak, and leadership loses trust in the new system.
⚠️ Problem: Without embedded guidance, adoption stalls—making even the best-designed systems ineffective.
⚠️ Consequence: The result is low compliance, unreliable reporting, and delayed decision-making—leading to more firefighting, not less.

✅ ClearWork Approach

  1. - ClearWork’s in-browser Co-pilot supports users at the moment of action—whether placing orders, managing backlogs, or rerouting shipments.
  2. - Prompts suggest best practices, flag compliance issues, and guide escalation protocols.
  3. - Users receive contextual help across tools and tasks—improving both speed and consistency.
  4. - Analytics capture usage patterns and exceptions from day one.
✅ Benefit: ClearWork turns the go-live moment into a scalable, supportable process—boosting trust, reducing rework, and driving better execution.

Continuous Improvement: From Launch to Long-Term Value

COO showing the value and high adoption from their digital transformation using clearwork

🔴 Traditional Approach

  1. - Improvement is retrospective—only initiated after KPI misses or customer complaints.
  2. - No way to identify repeated inefficiencies like rework, rush orders, or supplier delays.
  3. - Data is lagging and siloed; lessons learned don’t inform real-time decisions.
  4. - Employees feel stuck in broken systems—innovation slows and frustration rises.
📉 As BCG warns, many organizations fail to measure or evolve their transformations, dooming them to stagnation.

✅ ClearWork Approach

  1. - Tracks real-time Co-pilot usage, highlighting where decisions stall or process gaps persist.
  2. - Identifies automation opportunities across fulfillment, supplier management, and scheduling.
  3. - SOPs, dashboards, and alerts are updated continuously as workflows evolve.
  4. - Frontline feedback is integrated to refine policies and systems without waiting for quarterly reviews.
🔁 Impact: Supply chain teams become agile and proactive—capable of adapting faster to demand shifts, disruptions, and new requirements.

Why ClearWork Outperforms the Traditional Model

✅ ClearWork Approach

  1. - Tracks real workflows across planning, fulfillment, and operations
  2. - Designed from real friction, system use, and frontline feedback
  3. - Scope focused on root issues; rollout based on observed workflows
  4. - In-browser Co-pilot guides task execution and decision-making
  5. - Real-time visibility, adaptive SOPs, and continuous frontline feedback

🔴 Traditional Approach

  1. - Interviews, static KPIs, no real activity data
  2. - Built from templates and top-down targets
  3. - Poor integration, generic training, ignored pain points
  4. - Minimal support, high reversion risk
  5. - Lagging metrics and slow reaction

ClearWork transforms supply chain management from reactive firefighting to proactive orchestration—grounded in behavioral data, enabled by AI, and embraced by your team.

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