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Welcome to the Agentic Era

GenAI is reshaping retail. AI agents are redefining how businesses and individuals operate, innovate, and succeed. At the forefront of this technological revolution, our AI-native solutions empower you to achieve more with less effort. Partner with Impact Analytics and seize the opportunity to grow and stay ahead of your competition.

What are Autonomous AI Agents for Retail?

AI agents are intelligent systems designed to perform tasks, solve problems, and make decisions autonomously. They mimic human cognitive functions (without human intervention), including learning, reasoning, and adapting, to provide seamless solutions across industries. Whether you’re automating workflows, enhancing customer experiences, or making data-driven decisions, autonomous agents are here to elevate your capabilities.

Enhance your decision-making, get real-time resolutions, and adapt to changes within a few clicks. Artificial intelligence agents from Impact Analytics, with natural language processing, learn and analyze from your data, and provide insights without requiring manual intervention. Allow businesses for faster, smarter, and more impactful outcomes.

Data-Driven
Precision

Leverage your enterprise-wide data with our unified agentic architecture and models to enable accurate and timely decisions. Intelligent agents don’t just process data—they unlock its true potential.

Intelligent
Adaptability

With deep contextual awareness, AI Agents continuously learn and suggest outcomes, ensuring your operations stay ahead of changing demands and challenges. Leverage cutting-edge Large Language Model reasoning, purpose-built ML models, and contextual business rules.

Deploy Seamless Automation & Integration

Designed to operate across systems, AI Agents integrate natively into workflows, removing operational silos and enabling end-to-end automation. Easily integrate with your existing systems and tools for a hassle-free experience.

Proactive Decision-Making in Real Time

Predict and respond to disruptions like supply chain delays or unexpected demand spikes. Agents empower you to stay proactive, not reactive.

Scalable Solutions

Designed to grow with your business, ensuring long-term value and efficiency.

 Turbo-Charged Decision-Making Using AI Agents

The Impact Analytics Smart Platform, powered by AI agents, accelerates decision-making and automates key merchandising processes. Effortlessly manage assortment, inventory, pricing, and merchandise financial planning (MFP) through a simple chat-based interface.

Seamless Integration

IT Loves It

Deployable with your
existing systems.

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Business Gains

Immediate ROI with faster, smarter decisions.

Tailored GenAI Solutions

Transform your operations with customized generative AI solutions

Develop a GenAI Center of Excellence to streamline workflows.

Create bespoke workflows and agents built on out-of-the-box capabilities.

Allow Impact Analytics to assess your needs and craft a strategic GenAI roadmap.

 Next-Gen Business Intelligence with AI Agents

Experience the future of business intelligence with MondaySmart®. Harness the power of Causal AI to uncover hidden insights, solve key challenges, and drive faster, smarter decisions. From automated Monday morning diagnostics to deep-dive analytics, MondaySmart transforms data into action with ease. Tailored to your needs, it streamlines reporting, boosts ROI, and empowers your team to excel.

Discover what’s happening and why through the power of causal AI. MondaySmart® offers:

  • Comprehensive coverage across retail analytics areas.
  • Tailored, highly contextualized insights for faster, superior results.

Ready to redefine success?

AI Analytics Screenshot

MeetAlan, Your AI Agent

Whether it’s inventory management, pricing optimization, assortment planning, or demand forecasting, AI Agents from Impact Analytics work together to bring you comprehensive, AI-native solutions.
Demand Planning
Supply Chain
Merchandising
Pricing & Promotions
Business Intelligence

Demand Planning

Empower precise demand forecasting by analyzing trends, seasonality, and external factors. These AI Agents dynamically adjust forecasts based on real-time data, ensuring inventory aligns with demand. With scenario planning and actionable insights, they can optimize stock levels, reduce wastage, and enhance planning accuracy, enabling proactive decision-making across product categories within a few clicks.

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Meet Alan

Supply Chain

Streamline your supply chains by predicting disruptions, optimizing stock replenishments, and enhancing logistics. Impact Analytics AI Agents can automate capacity evaluations, ensure smooth distribution center transfers, and help you mitigate risks like stockouts. By adapting to real-time data and market changes, they ensure cost-efficient operations, timely delivery, and improved supply chain resilience.

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Meet Alan

Merchandising

Enhance merchandising by enabling cluster creation, assortment optimization, and in-season planning. Impact Analytics AI Agents suggest actionable strategies for product-store alignment, dynamically reconfigure clusters based on real-time data, and forecast in-season adjustments. These agents will ensure category relevance, maximize shelf efficiency, and deliver better customer-centric assortments.

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Meet Alan

Pricing & Promotions

Optimize pricing strategies by suggesting promotions aligned with ROI, automating seasonal event creation, and re-evaluating live offers for better outcomes. The different types of AI Agents can help you prevent margin drains with targeted nudges, recommend alternative promo types, and align promotions to revised targets. With re-optimization and seamless workflows, agents boost profitability while enhancing customer engagement. Deploy AI agents, including goal-based agents and AI systems, to manage pricing adjustments effectively. AI agents can handle dynamic changes and support AI applications like Chatbots to enhance customer interactions.

Learn more
Meet Alan

Business Intelligence

Impact Analytics advanced AI Agents can adapt to actionable insights by unifying data across systems, identifying performance gaps, and forecasting trends. They visualize KPIs, track key business metrics, and provide granular insights into sales, inventory, and customer behavior. By transforming data into strategies, you can make data-driven decisions and improve operational efficiency. These types of intelligent agents can also interact with other agents, allowing the AI agent’s capabilities to expand and provide even more valuable insights through agentic AI.

Learn more
Meet Alan

Choose Impact Analytics Agentic & GenAI-Driven Approach

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Predict and Respond Faster

Take data-driven decisions with accurate insights and take a proactive approach toward the market shifts faster.
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Reduce Manual
Efforts

Our GenAI-powered solutions automate retail operations, boosting sales, conversions & efficiency—eliminating manual efforts.
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Minimize
Risk

Our AI Agents adapt to disruptions like weather events and supply chain delays, so you can make informed decisions without second guessing.
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Proven
Expertise

Impact Analytics has over a decade of AI-native expertise, helping retailers achieve profitability, efficiency, and business excellence.

Trusted by Top Brands

Ready to Take Next Step with Impact Analytics

Build Agents

Leverage AI-driven automation to enhance decision-making and achieve smarter, faster business outcomes.

Get Expert Guidance

Collaborate with our AI specialists to deploy intelligent solutions that maximize efficiency and impact.

Talk to an AI Expert

Share your business challenges, and let’s explore how AI can transform your operations.

Secure, Compliant & Private

SECURE

GDPR & CCPA Compliance

COMPLIANT

SOC 2 Type 2 Certified

PRIVATE

Penetration Testing & Auditing

Frequently
Asked Questions

What is an AI Agent? Up Arrow
An AI Agent is not just a chatbot but an intelligent software system designed to automate tasks, make decisions, and streamline workflows. These agents function as a support, utilizing data, tools, customer data, and specific goals to deliver real-time solutions. They optimize processes like replenishment, pricing, and supply chain management, acting as problem solvers, decision-makers, and collaborators. Unlike human agents, AI agents are autonomous and operate with an internal model of the world. As learning agents, they continuously adapt to new information from their knowledge base to choose the right actions and improve decision-making, reducing human errors.
How does an AI Agent work? Down Arrow
These goal-based AI agents operate by integrating data from various sources, including historical records and current conditions, to make informed decisions. An AI agent may use advanced ML & AI models like LLMs and reinforcement learning to perform specific tasks. Simple reflex agents respond instantly to triggers, executing workflows 24/7 across departments. For example, they can use AI agents to trigger replenishment actions, adjust pricing, or optimize supply chain targets automatically.
How do you build AI agents? Down Arrow
Building AI Agents involves:
  • Defining specific workflows and goals.
  • Utilizing an AI platform like the Impact Analytics SmartPlatform.
  • Leveraging LLMs, business rules, and reinforcement learning models.
  • Integrating privacy, security, and compliance frameworks.
  • Ensuring seamless compatibility with existing systems​​.
What is an AI agent builder? Down Arrow
An AI Agent builder is a framework or platform that enables the creation of customized AI agents. These platforms provide tools to define workflows, integrate machine learning models, and deploy agents within existing infrastructures. Unlike traditional AI, these builders focus on delivering personalized solutions tailored to specific business needs. They ensure that AI agents meet specific AI agent requirements and leverage AI capabilities for optimal performance. Agents have an internal model that allows them to scale as autonomous agents, handling complex tasks efficiently. AI agents can also perform a variety of functions, enabling businesses to optimize their operations.
What sets Impact Analytics AI Agents apart? Down Arrow
Impact Analytics AI Agents are distinguished by:
  • Real-time decision-making and automation.
  • Integration with the Impact Analytics smart platform, which provides tailored, end-to-end retail solutions.
  • Domain-specific agents like MondaySmart® for performance insights and InventorySmart™ for inventory optimization.
  • Advanced features like actionable recommendations, workflow automation, and causal AI for in-depth analysis​​.
How can retail agents use AI? Down Arrow
Retail AI Agents can optimize inventory replenishment and pricing. They can react to market changes, such as supply chain disruptions, instantly, reduce manual effort by automating complex tasks, and provide actionable insights for assortment planning and promotional strategies​​. Businesses can use AI agents to deploy generative AI for more efficient processes. AI agents provide real-time decision-making support, ensuring better outcomes. AI agents also streamline operations, ensuring that tasks are completed faster. AI agents are designed to adapt and optimize strategies, ensuring continuous improvement. As AI agents take on more tasks, agents will become essential in driving business growth and efficiency.
How to train an AI agent? Down Arrow
Training an AI Agent involves:
  • Feeding the agent with historical and real-time data.
  • Incorporating domain-specific rules and workflows.
  • Validating its outputs through iterative testing.
  • Refining its performance using reinforcement learning and feedback loops.