BOOST YOUR FORECAST ACCURACY
USING UNIQUE ML ENGINE & BEST PRACTICES
In a constantly changing world, many businesses face increasing challenges when forecasting demand. These include; launches of new products, out of stock events, competitor activities, promotions, seasonality and holidays. At C&G, we have the know-how to help solve these challenges.
Without integrated systems that talk to each other, manufacturers cannot benefit from enhanced insights or augmented operational processes. Reliance on gut instinct is not enough when facing rapid digital transformation. Even the most experienced professionals in the industry can’t take all the variables into account. If the data is available, then managers usually lack reliable access or the capabilities to use it effectively.
Excels and BI do not enable accurate forecasting. New, game-changing technology is needed. C&G’s unique technology can be implemented 10 times faster than any other solution on the market, offering rapid ROI.
Our SaaS solution improves demand forecasting by providing 360-degree visibility of demand, keeping stakeholders connected to make real-time decisions. It leverages machine learning and advanced analytics to develop accurate, demand forecasts, incorporating real-time demand signals.
TAKE YOUR DEMAND FORECASTING TO THE NEXT LEVEL
By viewing historical behavior and building statistical tools, we help improve forecast accuracy, predicting consumer-driven demand across different market segments and throughout product lifecycles.
More accurate forecasts lead to more accurate downstream supply chain plans – boosting profitability, improving customers satisfaction and synchronizing supply chain partners.
Automatically generate forecasts at business levels defined by you: Segment demand by customer, channel and product
Advanced statistical modeling
Dynamic demand shaping with machine learning (automatic tuning)
Best practices – measurable tools and processes
BENEFITS
Customers achieve service revenue growth, productivity optimization, compliance and safety adherence.
Synchronize activities and customer demand
Boost customer service
Reduce inventory costs: eliminate redundant or obsolete inventory
Self-tuning forecasting algorithms: accurately and efficiently forecast demand
New products launch or change products
Higher revenue, fewer out-of-stocks, less lost sales