Industrial Automation, Additive Manufacturing, Industrial IoT, Sustainable Manufacturing, Wearables, 5G, and Big Data – help manufacturers move ahead on their Industry 4.0 maturity curve.

Key industry discussion points

View of Market Changes

A single view of market changes is no longer sufficient or relevant.

Direct to Consumer

Leaders are eyeing the D2C (direct-to-consumer) market as a ripe opportunity. Sensing demand and cost-to-deliver need a deeper thought that’s reimagined.

Sustainability Goals

Sustainability goals have come front and center with a supply chain that’s hardly escaped the perils of uncertainty.

Our Point of View

  • Demand Forecasting
  • S&OP
  • Distribution
  • Smart Factory
  • Materials Planning

Too many unforeseen market functions and unprecedented risks have distorted current (statistical) abilities to forecast accurately. Furthermore, historical models do not include external indices such as inflation, consumer index, and macroeconomic factors.

Demand planners can leverage AI/ML and Deep Learning models to achieve an SKU-level forecast for their products (MTO, MTS, MTE) by building forecasts using data science techniques.

Working on a great S&OP (Sales & Ops Planning) needs Data gathering, Demand planning grouping, Supply planning grouping, Pre-executive grouping with Finance, and finally Executive S&OP – all governed by best practices in the industry. CBC provides an end-to-end S&OP (IBP) lifecycle management powered by AI/ML.

Lack of systemic approach, Poor coordination of demand and supply, Breakdown in communications due to bad data, Lack of right metrics, and Lack of integration with finance on budgeting process are hindrances to realizing positive and profitable outcomes for enterprises.

Changing times have created an opportunity for distributors to go directly to end consumers. D2C (direct to consumer) requires the adoption of a customer-centric strategy, collaboration/communications directly with end customers, and offering a highly-personalized customer experience.

CBC offers digital B2B2C solutions that meet the above three cardinal rules for delivering on the D2C promise. Not to mention, lead the industry and form best practices for others to follow.

Smart Factory

Major challenges faced by manufacturers include deployment and integration of digital platforms/technologies, data readiness, and cybersecurity, leveraging data for continuous monetization, and  skilled resources to bringing efficiency across the factory by design.

A smart factory that’s connected and supported by good data governance is a surefire success. Key success factor requires a holistic approach to a supply chain that is able to reap the benefits of digital.

MRP (material requirements planning) has come a long way. Strategic sourcing (or e-procurement) methods have integrated material forecasting and planning to downstream functions like raw material preparation, packaging and labeling, logistics, and storage. This leads to efficient and timely availability of the material on the shop floor.

CBC provides a host of solutions including supply chain visibility, control towers, digital twins (for scenario planning), and finally maintaining sustainability goals.

Our success stories

Our Top-Shelf Stories.
  • Building-a-foundation-for-an-AI-led-Engineering
    Manufacturing Situation

    Adaptive Manufacturing is an essential part of Smart Factory. Today, the need to curate data from your field assets is critical for performance monitoring and meeting service levels (SLAs) that you’ve committed to your Customers.

    Building a foundation for AI-led Engineering is key to realizing the benefits of digitization. Structured, Unstructured and, Streaming data need to enable a “machine-first” approach for Operations.

  • While-a-plethora-of-technology-offerings
    Manufacturing Situation

    Industry 4.0 is creating the pressing need for manufacturers and their suppliers to stay ahead of their game. Customers need personal, relevant, and highly-customized services across their value chain.

    While a plethora of technology offerings have swamped the marketplace, the need for a business metrics-driven approach to solving complex problems including collaboration has been evasive.

  • How-did-our-Industrial-Manufacturer-solve-the-unsolvable-problem
    Manufacturing Situation

    Demand sensing through traditional means is no longer effective in predicting demand for products and services.

    How did our Industrial Manufacturer solve the unsolvable problem of forecasting? What challenges will manufacturers face while adapting to modern cognitive methods for a forecast?

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