Talent-driven solution
We recruited professionals to conduct a market analysis, develop messaging and value propositions, and assist with a sales funnel strategy and validating insights.
A Quick-turn launch
MaceForce helped a global software client conduct a competitive landscape analysis and develop a marketing strategy in 12 months to launch a product in response to a competitor’s acquisition.
Value delivered
- Uncovered common themes and opportunities in the customer journey and provided recommendations to enhance messaging, define software bundle concepts and develop a pricing strategy
- Reenvisioned customer journey to align with best practices in the mid-market consumer space and reduced friction in the purchasing process
- Identified an adjacent market opportunity with a low barrier to entry
Website rebranding and integration
Scalable talent
MaceForce provided a service delivery manager with web implementation experience to work with in-house managers to curate, onboard, manage and retain a team of digital professionals.
Digital resources and support
After several mergers, a private research university turned to MaceForce for scalable talent to address skill gaps and volume surges across multiple workstreams during a large-scale website implementation.
Value delivered
- Maximized the organization’s investment by adding contract professionals to implement a digital transformation strategy to unify its brand messaging and streamline its online presence
- Supplied additional reporting to support planning and budget forecasting/li>
- Augmented the work of the digital branding agency; brought in skilled professionals to support workflow surges and handle webpage production, search optimization and quality assurance/li>
Customer experience and digital strategy
Cloud-based solution
MaceForce developed a scalable mobile application leveraging assets and a smart contract blockchain database in the Azure environment.
Improved transparency
MaceForce helped a global food and beverage company implement a distributed ledger and smart contracts to record the sourcing and handling of its ingredients through the supply chain.
Value delivered
- Improved the customer experience by providing on-demand ingredient sourcing information, ultimately connecting the back-end data to the end-user experience
- Provided suppliers with improved consumer information in the form of destination data for goods sold
- Improved scalability and decreased onboarding time when introducing new features or partners to the platform
Customer experience with order-to-cash optimization
Data-driven approach
Developed process and data-mining models to eliminate order bottlenecks and a customer experience dashboard for detailed process analysis.
Analytics-centric solutions
MaceForce helped the largest U.S. cosmetic products manufacturer develop analytics capabilities to review the order-to-cash process, and identify and improve cycle times, lead times, and on-time and in-full delivery.
Value delivered
- Consolidated data to drive business value, processing billions of events from multiple systems
- Realized an eight-fold improvement in perfect (touchless) order management and increased on- time-in-full performance to strategic customers by more than 50 percent
- Uncovered a $40 million opportunity in managing several accounts receivable processes — deductions, write-offs and chargebacks
- Processed 240 million sales order items with billions of systemwide events and identified opportunities to improve overall customer net promoter score
Digital transformation in customer experience
Intelligent mining tools
MaceForce used AI and machine learning to extract and analyze 100,000+ customer Instagram chats and identify key issues across 34 categories.
Digital insights for endless possibilities
MaceForce helped a luxury apparel company analyze customer sentiments and create a process to categorize issues so the concerns could be easily addressed to improve customer satisfaction.
Value delivered
- Enabled the company to better understand customers’ views on its products and develop more personalized services that forge deeper customer connections
- Analyzed customer feedback and improved algorithms so they can be recalibrated to perform more effectively in the future