WHY LEADING ENTERPRISES CHOOSE GYSHO

SOCIAL MEDIA VIDEO ANALYSIS

AI-driven tool that analyses influencer videos across social media platforms to assess campaign message adoption and report on observed activities.

Business Challenge
Marketing teams running influencer campaigns often rely on manual video reviews to determine whether influencers are effectively adopting and communicating campaign messages. This is time-consuming, prone to oversight, and limits the scale and reach of social media marketing efforts.

Scope
Deliver a proof-of-concept solution that automatically visits social media platforms, analyses influencer videos, and reports on their activities, confirming campaign message adoption. The tool also identifies issues and opportunities, enabling marketing teams to optimise campaigns in real time.

Feature Snapshot

• Automated video analysis across multiple social media platforms.
• Detects and assesses campaign message adoption by influencers.
• Generates detailed reports on observed activities, issues, and opportunities.
• Eliminates manual video checking and influencer content validation.
• Applicable beyond marketing, including security, compliance, and content monitoring.

• Increased campaign monitoring scale and reach without additional headcount.
• Enabled real-time optimisation of influencer marketing strategies.

PoC Delivery Time

5 days

PROCUREMENT ASSISTANT

RAG-powered procurement assistant that supports legal queries, proposal analysis, and compliance checks in vendor interactions.

Business Challenge

Procurement teams often face delays and risks when navigating complex purchasing processes, legal terms, and compliance requirements. Accessing relevant corporate policies and legal guidance quickly is challenging, leading to slower vendor interactions and potential contractual risks.

Scope

Deploy a demo-stage, domain-specific RAG procurement assistant that provides instant, grounded answers to legal and compliance questions, analyses vendor proposals, and ensures purchasing processes align with corporate policies and terms.

Feature Snapshot

• RAG-powered assistant grounded in unique corporate procurement policies.
• Supports legal and compliance questions in real time.
• Analyses vendor proposals for risk and compliance alignment.
• Ensures purchasing processes follow corporate T&Cs and governance.
• Fast delivery model for AI assistants tailored to corporate needs.

Measurable Impact

• Reduced procurement query resolution time by up to 60%.
• Improved compliance adherence in vendor interactions by 35%.
• Accelerated proposal analysis and decision-making processes.

PoC Delivery Time

3 Days

SELF LEARNING AUTONOMOUS SUPPLY CHAIN

Fully autonomous supply chain warehouse with reinforced self-learning capabilities and predictive planning for maximum efficiency and sustainability.

Business Challenge

Traditional supply chain and warehouse operations rely heavily on manual labour and static processes, limiting efficiency, adaptability, and sustainability. Rising operational costs, labour shortages, and environmental pressures demand a smarter, more autonomous approach to supply chain management.

Scope

Propose the first full-scale self-learning autonomous supply chain system, integrating reinforced learning mechanisms and predictive planning to optimise operations end-to-end. The solution delivers benefits including reduced staffing requirements, higher efficiency, lower emissions, and faster turnaround times. Currently under review with the NL government for funding.

Feature Snapshot

• Fully autonomous warehouse operations.
• Reinforced self-learning mechanisms for continuous optimisation.
• Predictive planning for demand, inventory, and logistics.
  
• Reduces staffing needs while increasing throughput.
  
• Lowers environmental impact through optimised resource use.

Measurable Impact

• Expected to reduce staffing requirements by up to 50%.
• Projected operational efficiency gains of 40%.
• Anticipated reduction in emissions by 30% through optimised logistics and energy use.

PoC Delivery Time

5 Days