A client's usage spiked 40% but their rate tier did not adjust. Money left on the table. Or the client is overpaying and about to churn. Usage anomalies hide margin opportunities and churn risk. askotter watches every account and flags mismatches before they cost you.
Energy usage does not stay constant. A client expands their facility and usage jumps 40%. A client closes a location and usage drops 30%. Both shifts have financial implications: the first is a renegotiation opportunity that improves margin; the second is a churn signal. Without real-time usage monitoring, both go unnoticed until the quarterly review.
Contracts are structured around expected usage bands. When actual usage diverges significantly, the client is on the wrong tier. They might be overpaying and getting frustrated, or underpaying while you leave margin on the table. The data exists in billing and metering systems. Nobody watches it continuously.
askotter connects billing and usage meter data to learn each client's consumption patterns. When usage deviates significantly from the pattern, the agent identifies whether it is a growth signal, a decline signal, or a seasonal anomaly. Rate tier mismatches are flagged with renegotiation recommendations that include the financial impact for both you and the client.
Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.
askotter unifies energy broker contract data across carriers. Track renewal dates, rate changes, and usage in one place instead of spreadsheets nobody updates.
askotter monitors wholesale energy markets and matches rate shifts to client renewal windows. Right offer, right time, with data to back it up.
askotter scores every energy client by combining usage, billing, and CRM signals. Flags churn risk and expansion opportunity before the quarterly review.
We will connect your data, deploy agents that watch for this specific problem, and surface what matters. Your team stays in control. AI suggests, humans decide.