SOLUTIONS
Demand Sensing Control Tower
Close the Gap Between Forecast and Fulfillment
PartnerLinQ’s Demand Sensing Control Tower provides the last-mile intelligence necessary to minimize forecast error in the short-term execution window (0–8 weeks).
PartnerLinQ is the ecosystem that delivers on this vision through four core capability pillars:
End-to-End
Connectivity
Seamlessly link high-velocity demand data (POS, e-commerce clicks) to immediate execution systems (WMS, Allocation, Replenishment).
Unified Data Model
High-frequency, granular demand data and inventory status reside on a single platform, eliminating data silos.
AI-Driven Intelligence
Leverage ML for real-time anomaly detection and micro-forecast adjustments to maximize the accuracy of the short-term demand signal.
Composability & Flexibility
The modular architecture allows the solution to be easily configured to incorporate unique short-term factors like competitor promotions or local traffic/weather feeds.
Industries
- Retail & Consumer Goods
- Foods & Beverage
- Apparel & Footwear
Features & Capabilities
PartnerLinQ’s Demand Sensing Control Tower specializes in consuming high-volume, low-latency data to execute rapid, intelligent adjustments and optimize immediate inventory deployment.
Real-Time Signal Ingestion: Consumes and processes high-velocity demand data (daily POS, order intake, inventory levels) to derive the most accurate short-term forecast.
Micro-Forecast Adjustment: Calculates system calculated suggestions (on a daily or weekly basis) to correct the consensus forecast, minimizing last-mile error.
OOS Situations Respected: Actively monitors and respects OOS situations at the store or DC level for forecast suggestions, prioritizing replenishment needs.
Refill Quantity Calculation: Automatically calculates and suggests refill quantities once SKU is available again, integrating inventory constraints into the short-term forecast.
Abnorm Scenario Alerting: Display abnorm scenarios (e.g., unexpected demand spike, short-term stockout risk, high order income vs. sensed demand) with the ability to directly dive into the details.
Forecast Adjustment to Stock: Supports forecast adjustment to actual stock level (e.g., if stock is lower than the actual forecast) to manage EOL models or constrained supply.
- Time-Series Variance Visualization: Provides visualization of differences between the versions (Sensed vs. Consensus Forecast) to understand the magnitude of the short-term correction aligned with your industry and organizational calendars.
- S&OP and S&OE Support: Our platform orchestrates end-to-end processes and approvals with configurable process queues and pre- built templates, ensuring alignment across your organization.
- Customized Execution Dashboards: Customized dashboards showing most relevant real-time informations, e.g., Top X Stockout Risk or Fill Rate by DC/Region.
Technology
A solution's technology vision must align with your organization’s future aspirations. PartnerLinQ’s modern, composable architecture ensures a planning solution that is not only powerful today but will scale to meet your evolving needs.
Cloud-Native & Multi-Cloud Architecture: Our scalable, cloud-native architecture is built for real-time data processing and analytics, ensuring fast performance and seamless operations. We support multi-cloud environments, providing the flexibility to align with your organization’s cloud strategy.
Composability: Built on an API-first and microservices architecture, our platform provides the extensibility and flexibility to adapt to your unique needs, helping you achieve a truly composable enterprise.
Intelligent Data Applications Framework: Our framework allows you to easily onboard and enrich external data sets and factors with AI-based predictions, creating a richer input signal for your control tower and accelerating the evolution of your digital intelligence with ease.
Extensive Prebuilt Adapters: We offer prebuilt, composable integration adapters for over 80 enterprise application platforms, including SAP, Oracle, Microsoft Dynamics 365, Microsoft Dynamics Business Central, Manhattan Active Omni and Salesforce.
Seamless Data Flow: Our bi-directional integration capabilities with ERP, TMS, WMS, MES, IoT, and external data sources ensure a continuous flow of real-time operational data for a single source of truth.
Trading Partner Network: Our native integration with your trading partner network allows for real-time data capture (e.g., daily POS data, low-latency inventory feeds), ensuring your control tower is always informed by the most current operational signals.
Custom Algorithm & Model Development: The platform provides a unified environment for in-house development of custom algorithms and models, giving your teams the tools to continuously evolve the solution (e.g., short-term demand prediction algorithms).
Third-Party Analytic Integration: Easily integrate third-party analytics and leverage public APIs to expand the control tower models and connect with external data sources (e.g., local weather, hyper-local marketing spend).
Industry Knowledge Graph and Data Models: PartnerLinQ’s industry data models and supply chain knowledge graph instantly enable out-of-the-box reporting, search, and proactive alerting capabilities to a whole new level of sophistication and extensibility.
User Experience
The user experience for Demand Sensing is centered on providing immediate, actionable alerts and micro-adjustments that guide allocation and fulfillment decisions.
Real-Time Exception Console: Displays prioritized alerts for potential short-term stockout risks or abnormal scenarios (e.g., high order income vs. sensed demand), enabling management by exception.
System Calculated Action Prompts: Provides system calculated suggestions for refill quantities and inventory rebalancing, minimizing manual intervention.
Granular Data Visibility: Allows users to deep dive into the lowest hierarchy level for a selectable timeframe to validate the micro-adjustment reason.
Generative AI Narratives: GenAI provides contextual narratives explaining why the sensed demand is different from the forecast and the recommended immediate action.
Prescriptive Recommendations: Provides quantified recommendations for inventory re-allocation and replenishment based on immediate demand signals.
Implementation Advantage
Implementation is focused on quickly activating high-frequency data feeds and configuring the anomaly detection engine for immediate reduction of short-term forecast error.
High-Frequency Data Integration: Expedited connection and ingestion of POS, inventory, and order intake data (the fastest moving data) to enable real-time signal ingestion.
Short-Term Model Configuration: Quick setup and calibration of the ML models used for micro-forecast adjustment and short-term anomaly detection.
OOS/Refill Logic Setup: Implementation includes setting up the rules to respect OOS situations and automatically calculate and suggest refill quantities.
KPI Alignment: Immediate tracking of key short-term execution metrics, including Fill Rate %, On-Shelf Availability (OSA) %, and Wastage Reduction %.
End Result & Business Benefit
PartnerLinQ’s Demand Sensing Control Tower delivers operational agility and execution precision, directly translating real-time demand into superior fulfillment performance.
Maximized Execution Accuracy: Significantly improves short-term Forecast Accuracy % in the 0-8 week window, minimizing the chance of costly fulfillment errors.
Increased Customer Service: Achieves higher On-Shelf Availability (OSA) % and Fill Rate % by ensuring inventory is precisely allocated based on immediate demand.
Reduced Expedite Costs: Lowers reactive costs by minimizing the need for expedited shipping or emergency transfers that result from short-term forecast failures.
Wastage Reduction: Reduces inventory obsolescence and Wastage Reduction % (especially for perishables or fast fashion) by matching supply to dynamically sensed demand.
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