Transportation and warehousing businesses can save a lot of cost mentioned below as slippage. We offer you free scans to feel your data and how to fix those. If you need more free; please connect using the calendar invite from contact tab. We offer PDF downloads, which will help you to fix your data even at a later time. Make sure its done before month-end. The scenario and offering can be many; that’s why we build packages. We will try and see what fits your requirements best after we know your sources and applications you use. Trust us, we will be saving thousands every month, which no other AI/ML company can help you with. We can match their price if you can provide evidence.
Dashboards
We can help you with multiple dashboards with the answers you want everyday to run your business. If you have multiple sources, it could be a used case for you. But they are usually more expensive to build, as more man-hours are required.
Transportation—Day to Day Slippages
& Financial Impact
| Day-to-day slippage | What is happening operationally | What WGS should detect | Small 20–49 employees | Mid 50–99 | Large 100–249 | Very Large 250–500 |
|---|---|---|---|---|---|---|
| Empty / Deadhead Miles | Trucks moving without revenue-producing loads | Empty-mile % rising by route/driver/customer | $3K–$10K/mo | $8K–$25K/mo | $20K–$60K/mo | $50K–$150K+/mo |
| Fuel Efficiency Leakage | MPG deteriorating, excess consumption | MPG/fuel cost variance vs truck/route/history | $2K–$8K | $6K–$18K | $15K–$45K | $35K–$100K+ |
| Excessive Idling | Engines running unnecessarily | Idle hours/fuel by truck/driver/location | $1K–$4K | $3K–$8K | $7K–$20K | $15K–$45K |
| Detention / Waiting | Drivers/trucks waiting at customer facilities | Detention frequency, duration and unrecovered cost | $2K–$7K | $5K–$15K | $12K–$35K | $30K–$80K |
| Unrecovered Accessorials | Detention, layover, TONU etc. not billed | Operational event exists but customer billing missing | $1K–$5K | $3K–$10K | $8K–$25K | $20K–$60K |
| Driver Overtime | Poor scheduling creates excess labor cost | Overtime concentration by route/customer/terminal | $2K–$6K | $4K–$12K | $10K–$30K | $25K–$70K |
| Maintenance Leakage | Reactive repairs, recurring failures | Cost/mile rising; repeat repair patterns | $2K–$8K | $6K–$18K | $15K–$45K | $35K–$100K |
| Preventive Maintenance Misses | Service performed late | Vehicles approaching/missing PM thresholds | $1K–$5K | $3K–$10K | $8K–$25K | $20K–$60K |
| Vehicle Downtime | Trucks unavailable for revenue work | Downtime hours/days trending upward | $3K–$12K | $8K–$25K | $20K–$60K | $50K–$150K+ |
| Poor Asset Utilization | Trucks/trailers underused | Utilization deterioration by asset/terminal | $3K–$10K | $8K–$25K | $20K–$60K | $50K–$150K+ |
| Route Inefficiency | Excess mileage/time vs expected route | Actual vs planned miles/hours/cost | $2K–$7K | $5K–$15K | $12K–$35K | $30K–$80K |
| Late Delivery / SLA | Deliveries repeatedly miss commitments | SLA deterioration by route/customer/driver | $1K–$5K | $3K–$12K | $10K–$30K | $25K–$75K |
| Load Underutilization | Trucks running below practical capacity | Weight/cube/load utilization trends | $2K–$8K | $5K–$18K | $15K–$40K | $35K–$100K |
| Rate / Pricing Leakage | Loads priced below true cost | Revenue/load vs actual operating cost | $3K–$15K | $10K–$30K | $25K–$75K | $60K–$200K+ |
| Customer Margin Leakage | High-maintenance customers look profitable on revenue | True customer contribution deteriorating | $3K–$15K | $10K–$35K | $30K–$90K | $75K–$250K+ |
| Claims / Damage | Freight damage, shortages, claims | Claim rate/cost concentration and trends | $1K–$5K | $3K–$12K | $8K–$30K | $20K–$75K |
| Invoice / Billing Leakage | Completed work isn’t fully/accurately billed | Delivered load vs invoice reconciliation | $2K–$10K | $7K–$25K | $20K–$60K | $50K–$150K+ |
| Receivables / DSO | Customers paying progressively later | Aging deterioration/customer payment patterns | $2K–$10K* | $5K–$25K* | $15K–$60K* | $40K–$150K+* |
.
Warehouse — Day-to-Day Slippage & Financial Impact
| Day-to-day slippage | What WGS should detect | Small 20–49 employees | Mid 50–99 | Large 100–249 | Very Large 250–500 |
|---|---|---|---|---|---|
| Inventory Shrinkage | System stock vs physical movement discrepancies | $3K–$12K/mo | $8K–$25K | $20K–$60K | $50K–$150K+ |
| Inventory Accuracy | Repeated SKU/location/count variances | $2K–$8K | $5K–$18K | $15K–$40K | $35K–$100K |
| Slow/Dead Inventory | Aging inventory, declining movement | $5K–$20K* | $15K–$50K* | $40K–$120K* | $100K–$300K+* |
| Receiving Errors | PO vs received qty/SKU discrepancies | $2K–$7K | $5K–$15K | $12K–$35K | $30K–$80K |
| Putaway Delays | Inventory waiting too long before becoming available | $1K–$5K | $3K–$10K | $8K–$25K | $20K–$60K |
| Misplaced Inventory | Stock exists but isn’t available at expected location | $2K–$8K | $5K–$18K | $12K–$35K | $30K–$90K |
| Picking Errors | Wrong SKU/quantity/customer picked | $2K–$7K | $5K–$15K | $12K–$35K | $30K–$80K |
| Packing Errors | Incorrect packing, labeling or documentation | $1K–$5K | $3K–$10K | $8K–$25K | $20K–$60K |
| Shipping Errors | Wrong/short/duplicate shipments | $2K–$8K | $5K–$18K | $15K–$40K | $35K–$100K |
| Damage/Spoilage | Product damage increasing by SKU/location/shift | $2K–$8K | $5K–$20K | $15K–$50K | $40K–$120K |
| Excess Labor | Labor hours rising faster than throughput | $3K–$10K | $8K–$25K | $20K–$60K | $50K–$150K |
| Overtime Leakage | OT concentration by shift/area/day | $2K–$7K | $5K–$15K | $12K–$35K | $30K–$90K |
| Low Pick Productivity | Picks/hour deteriorating | $2K–$8K | $5K–$18K | $15K–$40K | $35K–$100K |
| Dock Congestion | Trucks/loads waiting excessively | $2K–$7K | $5K–$15K | $12K–$35K | $30K–$80K |
| Space Underutilization | Poor cube/location utilization | $2K–$10K | $7K–$25K | $20K–$60K | $50K–$150K |
| Stockouts | Demand exists but inventory unavailable | $3K–$15K | $10K–$35K | $25K–$80K | $60K–$200K+ |
| Excess Inventory | Inventory significantly above consumption | $5K–$25K* | $15K–$60K* | $50K–$150K* | $125K–$400K+* |
| Returns | Returns increasing by SKU/customer/reason | $2K–$8K | $5K–$20K | $15K–$50K | $40K–$125K |
| Supplier Variance | Short/late/damaged supplier receipts | $2K–$8K | $5K–$20K | $15K–$45K | $35K–$100K |
| Order SLA Leakage | Orders missing promised ship/service targets | $2K–$10K | $7K–$25K | $20K–$60K | $50K–$150K+ |
| Billing/3PL Leakage | Storage/handling/accessorial services not billed | $2K–$10K | $7K–$25K | $20K–$60K | $50K–$150K+ |
Check your own data set for slippages to ensure you are not a victim. We can help you to minimize your losses if you are willing to fix it prior to the month’s end. For that you will have to scan your dataset, which is secured, and the dataset lives in your own browser; hence, limit it below 50 MB.
- Prepare your CSV file by subject area, which you get from your source system.
- Make sure the slippage you want to identify is covered in your dataset. Our WGS Intelligence can also detect for you.
- Make sure your csv file is less than 50MB
- Use your business email address to register
- You will be provided one scan for free, if you need more connect with Sujoy from contact tab.
