Case Studies

Industrial Products & Services Operations: Process Mapping, Standardization & Automation Enable Growth and Delivery Speed

Fortune 500 Manufacturer and Service Provider
Location:
USA, All Locations

Client Situation

Standardization and Automation Needed to Retain “One-Stop Shop” Services Advantage

For two decades, the building products division of this company dominated its competitors by getting its premium quality products specified for new institutional construction projects. The initial sale was profitable; later replacement and maintenance service was even more lucrative. And the entire service offering was typically bundled with 24/7 alarm-monitoring services, providing a single “one-stop shop” advantage for far-flung global networks of businesses.

But then disturbing news started arriving from the sales force: Architects were allowing contractors to ignore the specs and use substitute products. Maintenance service customers were doing the same. Competitors offered a 30-percent discount. Even worse, they delivered in five days or less—while the building products division struggled to deliver in three weeks. The company’s long-held strategic advantage as the industry’s ”one-stop-shop” was at grave risk.

The executive team rapidly needed to improve performance—and deliver a plan within weeks.

Project Overview

Project Sponsor: Senior Vice President, Operations

Client: Fortune 500 Manufacturer

Implementation Results
  • Order-to-delivery cycle time: Down 50%
  • Capacity improvement: Up 30%
  • Operating cost: Down 20%
  • Break-even point: 5 months
  • ROI (12 month): 4x

Client Description, Project Scope, Objectives

The company provides commercial building and security products as well as maintenance and monitoring services worldwide. More than 4,000 employees serve business and institutional customers in North America alone. The project scope included all non-manufacturing organizations in the supply chain: marketing, sales, distribution, customer service, and branch operations.

The operations execs huddled for an afternoon at a company offsite and agreed to do everything in their power to hold on to the company’s dominant “one-stop shop” position. They already knew that massive improvement was possible from simple strategies for automation that would not involve massive capital spending or board-level approvals:

New automation technologies: Low-cost, low-code technologies were available (robotic process automation or RPA, AI, workflow, digital forms, etc.), that could be deployed quickly, with low risk and minimal disruption.

Existing technologies: Massive, previous investments in sophisticated technologies were not used to their full potential, and often were used inconsistently across the enterprise.

The executive team knew that “simple” does not mean “easy.” For example, a board of directors’ mandate from two years earlier to rapidly adopt robotic process automation enterprise-wide was struggling to make meaningful gains—only a dozen RPA bots were operational and improvement benefits were negligible.

The new initiative would depend on improving consistency. Operations were needlessly inconsistent, and everyone could see it. There were not enough objective facts about margins, performance, and especially the critical, end-to-end processes—no repository of standards, no single source of truth. Executives leaned on ad hoc analysis and tribal knowledge to support decisions. To get a more automated and data-driven supply chain, the execs knew that existing operations must become more standardized and coordinated. Someone joked that they needed an “industrial engineering” approach—like they had in the plants—for the services delivery operations.

The group learned that The Lab specialized in standardization-based improvement and automation. After reviewing The Lab’s process-improvement templates and supply-chain standardization methodology, they saw how these could simultaneously deliver two types of gains:

Non-technology gains

Standardizing operations reduced the avoidable rework and needless variation that squandered 30 percent of everyone’s workday. Standardizing data intake, analysis, and reporting delivered consistent insights—from a “single source of truth.”

Technology-enabled gains

Documenting these standardized operations revealed that 40 percent of the remaining work activities were candidates for some type of automation—either new, digital technologies (RPA, AI, etc.), or existing technologies (ERP, CRM, etc.).

Together, these represented a virtually endless list of strategically valuable, complementary, near-term improvement opportunities (both non-technology, and technology-enabled) that required no major new core IT systems.

The project was completed in two phases.

Project Scope:
  • Order management
  • Sales and operations planning
  • Customer service
  • Branch operations
  • Distribution
 
 
Initiative Objectives:
  • Accelerated order delivery

  • Customer experience improvement

  • Growth readiness and cost optimization

Overview: Phase I, Analysis and Discovery

Within eight weeks, The Lab’s standardized process map and discovery templates enabled documentation of all major end-to-end (E2E) business processes for 4,000 supply-chain and services employees. More than 85 percent of their work activities were analytically crowdsourced and documented. The templates enabled this detailed mapping while requiring only one hour per week of any subject matter expert’s (SME’s) time.

Next, The Lab’s standardization platform and data-science models mined, compiled, and generated insights for the maps from internal client applications: event logs, volumes, and cost-center data. The Lab’s external industry data provided benchmark comparisons, best-practice comparisons, and automation use-case comparisons. Coordinating and reconciling the E2E maps with both internal and external data resulted in improvement recommendations that could easily be directly reviewed, refined, and validated by thousands of the supply-chain employees—even with the company’s overseas divisions, across the Americas, in Europe, and in Asia.

Assets and Deliverables: Analysis and Discovery, Phase I

  • All major customer-facing and internal end-to-end business processes documented at nano-scale detail
  • Regional, departmental variance cataloged and reconciled
  • Self-funding implementation work plan drafted
  • Hundreds of improvement opportunities documented and prioritized:
    • Process standardization (200+ opportunities)
    • Business intelligence, data-driven (30+ use cases)
    • Automation: RPA, workflow (100+ use cases)
    • AI & Machine Learning (20+ use cases)

 

Implementation, Phase II

The ten-month Phase II implementation effort reduced order delivery cycle times by 50 percent in the near term with plans to meet competitors’ times within the following year. A promotional campaign was launched to better-introduce the company’s lower-priced product lines to architects and end users. Customer segmentation focused on the top three most profitable groups, enabling rapid response for service needs and refocusing both branch and field sales efforts on these core customers. The least profitable customers were segmented into groups that required repricing (increase) and/or “unbundling” to reduce over-service.

The Lab implemented the highest-priority standardization opportunities and automations that had been discovered, alongside the client’s internal resources. The senior executive sponsor of the initiative adopted a decentralized approach. Once improvement goals were established for each area and/or for each E2E business process, the organizations involved were free to perform the work with any mix of resources they chose: internal resources or The Lab’s resources.

Improvement Examples, Service and Distribution Standardization

The Lab implemented over 170 process-standardization opportunities to reduce variance and 20-plus automation candidates to increase service, productivity, and efficiency. Examples:

Streamlined and standardized branch operations.

Despite previous initiatives, branch operations were rife with avoidable work and errors. Corrections and rework disrupted the new customer onboarding process and increased order cycle times and fragmented shipments. The Lab’s process maps pinpointed a handful of root causes that generated over two-thirds of this problem and could largely be eliminated with standardization and workflow automation: form inconsistency, outdated central repositories (data, product numbers, etc.), lax standards, few capabilities to auto-correct, existing contract archive quality (customers, installed projects, contracts) virtually unmanaged.

Customer-focused process improvement/automation.

The organization lacked a clear understanding of customer priorities. Although the company delivered the highest quality product, different customers had additional, unmet priorities: Some valued delivery speed; others wanted on-site consignment stock; still others sought the company’s (largely unpromoted) mid-priced products; some preferred alternative distribution channels; and on and on. The Lab helped identify the top three most profitable unmet priorities and increased automation of dedicated processes for these. The bottom 20 percent of customers generated negative margins. Automated renewals and repricing began to stem this “margin leakage.”

Standardized metrics, automated, real-time reporting.

Individual employee productivity and accuracy variance for identical tasks often exceeded 7x. Internal performance targets were consistently missed. The organization lacked standard employee-level metrics, reports, and job guides. The Lab created a central repository of standard KPIs, best practices, and desk-level employee job aids. RPA bots, supported by AI, monitored real-time performance of individuals and sent updates and specific tips (best practices) on how to avoid repetitive errors and use short cuts to increase productivity.

The Lab Makes it Easy

Organization-friendly engagement design

At The Lab, we’ve spent three decades refining every aspect of our transformation engagement model. We’ve made it easy for clients—from the C-Suite to the front line—to understand and manage the initiative:

  • Minimal use of client time: One to two hours each week, maximum.
  • Measurable benefits: Typical 12-month ROI is 3x to 5x.
  • Pre-built templates and tools: Process maps, data models, bots, and more.
  • U.S.-based, remote delivery: Nothing is ever outsourced or offshored.

Designed to reduce risk, increase success

Since 1993, The Lab has led the industry in eliminating risk for our clients. Whether your engagement involves a handful of bots or wall-to-wall transformation, we make it easy to do business with us:

  • Fixed pricing and clearly defined scope
  • Early-out checkpoints and options
  • Money-back guarantees

Book your demo today

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