Using Customer Data to Forecast Q1 2027 Demand infographic

How to Use Customer Data to Forecast Q1 2027 Demand

Why Q1 2027 Forecasting Deserves Early Attention

Given the procurement lead times and inventory planning discussed throughout this publication, building a Q1 2027 demand forecast now, rather than waiting until Q4 closes out, gives you meaningfully more runway to act on what the data shows.

What Customer Data to Analyze

Reactivation conversion patterns. Track how many dormant customers reactivated during the CR extension window discussed throughout this publication, and at what pace, since this reveals whether reactivated relationships are converting into sustained repeat purchasing or one-time reengagement.

New customer acquisition trajectory. Distinguish genuinely new customers acquired during the protected window from reactivated ones, and assess whether new customer acquisition is accelerating, steady, or slowing as Q4 progresses.

Subscription and recurring order commitments. As discussed in the subscription and retention content elsewhere in this publication, subscription commitments made during Q4 represent the most reliable forward-looking demand signal, since they reflect actual customer commitments rather than projections.

Category and product-level demand shifts. Analyze whether demand is concentrating in specific product categories or cannabinoid types, informing which parts of your product line to prioritize in Q1 procurement and marketing planning.

Building the Forecast Around December 11 Scenarios

Consistent with the scenario planning approach discussed throughout this publication, build your Q1 2027 demand forecast as a range reflecting the three December 11 scenarios rather than a single point estimate, since customer demand itself may shift meaningfully depending on which scenario materializes.

Segmenting the Forecast by Customer Type

B2B wholesale and ingredient customers, retail partners, and DTC consumers likely show different demand patterns and different sensitivity to the December 11 outcome, build separate forecast segments rather than a single blended number that obscures these differences.

Using the Forecast for Procurement Planning

Connect your Q1 2027 demand forecast directly to the procurement and inventory turnover discipline discussed throughout this publication, ensuring your Q4 inventory decisions and early Q1 procurement planning reflect actual forecasted demand rather than simply extending Q4 patterns forward without adjustment.

Revisiting the Forecast as New Data Arrives

Treat this as a living forecast, updated as actual Q4 performance data accumulates and as December 11 developments provide clearer signal, rather than a one-time exercise completed and then set aside.

Low Gravity Hemp can support your Q1 2027 planning with flexible procurement terms that adapt to your evolving demand forecast. Contact us to talk through how our supply relationship can support your forward planning.