Accelerating CPG with Practical AI

Find out how we can help you elevate revenue management, build agile supply chains, and engage better with customers and consumers

Act on intelligent business decisions in real time through our AI-driven solutions

Act on intelligent business decisions in real time through our AI-driven solutions

CPG supply chains operate across multiple layers, manufacturing, distributors, retailers, and end consumers, each generating its own data and demand signals. Promotions, seasonality, and shifting consumer preferences introduce additional variability.

However, visibility across this ecosystem is often limited. Data from distributors and retailers is delayed or incomplete, making it difficult to accurately forecast demand and align supply.

As a result, planning decisions are frequently based on partial information, leading to inefficiencies across production, inventory, and distribution.

Key Challenges

01
Demand variability driven by promotions, seasonality, and external factors

02
Limited visibility into distributor and retail sell-through data

03
Misalignment between demand forecasts and production plans

04
Excess inventory in some regions and stockouts in others

05
Difficulty measuring and predicting promotion impact

06
Fragmented data across internal and external systems

How ManoloAI Helps

  • Unify Demand and Supply Data

    Unify Demand and Supply Data

    We integrate internal systems with distributor and retail data to create a consistent view of demand and inventory.

  • Improve Demand Forecasting

    Improve Demand Forecasting

    We apply AI models that incorporate promotions, seasonality, and external signals to generate more accurate forecasts.

  • Align Supply with Demand

    Align Supply with Demand

    We connect forecasts to production and distribution planning, helping reduce imbalances across regions and channels.

  • Enable Continuous Decision-Making with Ariel

    Enable Continuous Decision-Making with Ariel

    Ariel connects data, models, and workflows, ensuring that forecasts and planning decisions are continuously updated as new data becomes available.

Our Approach

We combine hands-on consulting with a platform designed to scale decision-making.

Our team brings over 100 years of collective experience building supply chain products across CPG, retail, logistics, and manufacturing.

We understand how CPG planning works in practice across multiple partners, delayed data signals, and constantly shifting demand patterns.

  • Deep CPG and supply chain expertise

  • Strong data engineering across fragmented ecosystems

  • Decision-focused AI for planning and operations

  • Ariel platform for continuous execution and alignment

Consulting (Getting It Right)

  • Understand your demand signals, data gaps, and planning processes

  • Define forecasting and supply planning strategies

  • Build and validate models tailored to your product categories and channels

Ariel (Scaling It)

  • Operationalize forecasting and planning models into workflows

  • Continuously update forecasts with new data

  • Enable cross-functional alignment across demand, supply, and distribution

Key Use Cases

  • Demand forecasting across products and regions

  • Promotion planning and impact analysis

  • Supply and production planning alignment

  • Inventory optimization across distribution networks

  • Distributor and retail demand visibility

  • Scenario planning and what-if analysis

Data & Systems We Work With

We work with real CPG environments, integrating across:

ERP systems

Demand planning and supply planning systems

Distributor and retailer data feeds

Sales and order data

Inventory and warehouse systems

Promotion and marketing data

External signals (seasonality, events, market trends)

  • Align Demand, Supply, and Decisions in CPG

    See how ManoloAI and Ariel help CPG organizations improve forecasting, planning, and execution across complex distribution networks.